Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com] torrent, magnet, bt

Latest Search: 1.mbrba-123-c 2.Palace Shoals 3.KRBV-217 4.MUCD315 5.bmw200

Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com]

magnet:?xt=urn:btih:89BE1977110C01098EDFE38866DDB0B45D59C1EB&dn=Complete%202020%20Data%20Science%20and%20Machine%20Learning%20Bootcamp%20%5BUdemyLibrary.com%5D

QR Code Copy to Clipboard Open with BT Client

Torrent Hash:

89BE1977110C01098EDFE38866DDB0B45D59C1EB

Number of Files:

444

Content Size:

17.17GB

Convert On:

2020-11-19

Keywords:

Complete 2020 Data Science and Machine Learning Bootcamp UdemyLibrary com

Magnet Link:

magnet:?xt=urn:btih:89BE1977110C01098EDFE38866DDB0B45D59C1EB&dn=Complete%202020%20Data%20Science%20and%20Machine%20Learning%20Bootcamp%20%5BUdemyLibrary.com%5D

Link:

//btsow.motorcycles/magnet/detail/hash/89BE1977110C01098EDFE38866DDB0B45D59C1EB

Download

Play Now

File Name

Size

Course/1. Introduction to the Course/1. What is Machine Learning.mp4

45.29MB

Course/1. Introduction to the Course/2. What is Data Science.mp4

42.86MB

Course/1. Introduction to the Course/3.1 ML Data Science Syllabus.pdf

103.97KB

Course/1. Introduction to the Course/1. What is Machine Learning.srt

6.91KB

Course/1. Introduction to the Course/2. What is Data Science.srt

5.72KB

Course/1. Introduction to the Course/4. Top Tips for Succeeding on this Course.html

2.09KB

Course/1. Introduction to the Course/5. Course Resources List.html

1.13KB

Course/1. Introduction to the Course/3. Download the Syllabus.html

1.03KB

Course/1. Introduction to the Course/4.1 App Brewery Cornell Notes Template.html

141B

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4

251.83MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4

218.25MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4

191.54MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/7. Interacting with the Operating System and the Python Try-Catch Block.mp4

133.41MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/4. Exploring the CIFAR Data.mp4

110.31MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4

103.6MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4

100.42MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/5. Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4

93.16MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.mp4

62.76MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/2. Installing Tensorflow and Keras for Jupyter.mp4

42.1MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/3. Gathering the CIFAR 10 Dataset.mp4

31.37MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1. Solving a Business Problem with Image Classification.mp4

30.53MB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip

120.11KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.srt

40.5KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.srt

32.97KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.srt

28.28KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/7. Interacting with the Operating System and the Python Try-Catch Block.srt

23.69KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/5. Pre-processing Scaling Inputs and Creating a Validation Dataset.srt

19.92KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.srt

18.63KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/4. Exploring the CIFAR Data.srt

18.23KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.srt

14.1KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.srt

10.8KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/2. Installing Tensorflow and Keras for Jupyter.srt

6.42KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/3. Gathering the CIFAR 10 Dataset.srt

6.1KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1. Solving a Business Problem with Image Classification.srt

4.97KB

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/14. Any Feedback on this Section.html

521B

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13. Download the Complete Notebook Here.html

242B

Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1.1 Course Resources.html

122B

Course/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4

213.67MB

Course/11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4

155.37MB

Course/11. Use Tensorflow to Classify Handwritten Digits/6. Creating Tensors and Setting up the Neural Network Architecture.mp4

150.86MB

Course/11. Use Tensorflow to Classify Handwritten Digits/9. Tensorboard Summaries and the Filewriter.mp4

128.29MB

Course/11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.mp4

115.75MB

Course/11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.mp4

110.72MB

Course/11. Use Tensorflow to Classify Handwritten Digits/8. TensorFlow Sessions and Batching Data.mp4

100.32MB

Course/11. Use Tensorflow to Classify Handwritten Digits/7. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4

75.11MB

Course/11. Use Tensorflow to Classify Handwritten Digits/4. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4

70.19MB

Course/11. Use Tensorflow to Classify Handwritten Digits/2. Getting the Data and Loading it into Numpy Arrays.mp4

52.82MB

Course/11. Use Tensorflow to Classify Handwritten Digits/5. What is a Tensor.mp4

45.39MB

Course/11. Use Tensorflow to Classify Handwritten Digits/3. Data Exploration and Understanding the Structure of the Input Data.mp4

32.41MB

Course/11. Use Tensorflow to Classify Handwritten Digits/2.1 MNIST.zip

14.77MB

Course/11. Use Tensorflow to Classify Handwritten Digits/1. What's coming up.mp4

7.1MB

Course/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.srt

30.11KB

Course/11. Use Tensorflow to Classify Handwritten Digits/6. Creating Tensors and Setting up the Neural Network Architecture.srt

29.05KB

Course/11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.srt

26.26KB

Course/11. Use Tensorflow to Classify Handwritten Digits/9. Tensorboard Summaries and the Filewriter.srt

23.21KB

Course/11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.srt

21.25KB

Course/11. Use Tensorflow to Classify Handwritten Digits/8. TensorFlow Sessions and Batching Data.srt

20.5KB

Course/11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.srt

18.9KB

Course/11. Use Tensorflow to Classify Handwritten Digits/7. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.srt

14.15KB

Course/11. Use Tensorflow to Classify Handwritten Digits/4. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.srt

12.67KB

Course/11. Use Tensorflow to Classify Handwritten Digits/2. Getting the Data and Loading it into Numpy Arrays.srt

9.01KB

Course/11. Use Tensorflow to Classify Handwritten Digits/5. What is a Tensor.srt

8.99KB

Course/11. Use Tensorflow to Classify Handwritten Digits/14.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip

6.6KB

Course/11. Use Tensorflow to Classify Handwritten Digits/3. Data Exploration and Understanding the Structure of the Input Data.srt

6.49KB

Course/11. Use Tensorflow to Classify Handwritten Digits/1. What's coming up.srt

2.49KB

Course/11. Use Tensorflow to Classify Handwritten Digits/15. Any Feedback on this Section.html

499B

Course/11. Use Tensorflow to Classify Handwritten Digits/14. Download the Complete Notebook Here.html

242B

Course/11. Use Tensorflow to Classify Handwritten Digits/1.1 Course Resources.html

122B

Course/12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4

235.33MB

Course/12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4

223.26MB

Course/12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4

188.04MB

Course/12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4

187.37MB

Course/12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4

172.83MB

Course/12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4

171.97MB

Course/12. Serving a Tensorflow Model through a Website/13. Resizing and Adding Padding to Images.mp4

157.5MB

Course/12. Serving a Tensorflow Model through a Website/6. HTML and CSS Styling.mp4

150.23MB

Course/12. Serving a Tensorflow Model through a Website/4. Converting a Model to Tensorflow.js.mp4

132.49MB

Course/12. Serving a Tensorflow Model through a Website/2. Saving Tensorflow Models.mp4

109.98MB

Course/12. Serving a Tensorflow Model through a Website/15. Making a Prediction from a Digit drawn on the HTML Canvas.mp4

104.41MB

Course/12. Serving a Tensorflow Model through a Website/3. Loading a SavedModel.mp4

103.93MB

Course/12. Serving a Tensorflow Model through a Website/5. Introducing the Website Project and Tooling.mp4

78.04MB

Course/12. Serving a Tensorflow Model through a Website/11. Data Pre-Processing for Tensorflow.js.mp4

61.89MB

Course/12. Serving a Tensorflow Model through a Website/8. Adding a Favicon.mp4

41.51MB

Course/12. Serving a Tensorflow Model through a Website/17. Publish and Share your Website!.mp4

38.75MB

Course/12. Serving a Tensorflow Model through a Website/1. What you'll make.mp4

38.44MB

Course/12. Serving a Tensorflow Model through a Website/16.1 math_garden_stub complete.zip

4.09MB

Course/12. Serving a Tensorflow Model through a Website/12.1 math_garden_stub 12.12 checkpoint.zip

4.09MB

Course/12. Serving a Tensorflow Model through a Website/3.1 MNIST_Model_Load_Files.zip

2.84MB

Course/12. Serving a Tensorflow Model through a Website/4.1 TFJS.zip

1.54MB

Course/12. Serving a Tensorflow Model through a Website/5.1 math_garden_stub.zip

44.03KB

Course/12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.srt

39.42KB

Course/12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.srt

38.37KB

Course/12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.srt

38.09KB

Course/12. Serving a Tensorflow Model through a Website/6. HTML and CSS Styling.srt

37.89KB

Course/12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.srt

37.83KB

Course/12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.srt

37.18KB

Course/12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.srt

35.49KB

Course/12. Serving a Tensorflow Model through a Website/13. Resizing and Adding Padding to Images.srt

26.86KB

Course/12. Serving a Tensorflow Model through a Website/3. Loading a SavedModel.srt

26.16KB

Course/12. Serving a Tensorflow Model through a Website/2. Saving Tensorflow Models.srt

21.26KB

Course/12. Serving a Tensorflow Model through a Website/4. Converting a Model to Tensorflow.js.srt

21.13KB

Course/12. Serving a Tensorflow Model through a Website/5. Introducing the Website Project and Tooling.srt

17.19KB

Course/12. Serving a Tensorflow Model through a Website/15. Making a Prediction from a Digit drawn on the HTML Canvas.srt

17.04KB

Course/12. Serving a Tensorflow Model through a Website/11. Data Pre-Processing for Tensorflow.js.srt

11.92KB

Course/12. Serving a Tensorflow Model through a Website/1. What you'll make.srt

9.76KB

Course/12. Serving a Tensorflow Model through a Website/17. Publish and Share your Website!.srt

9.51KB

Course/12. Serving a Tensorflow Model through a Website/8. Adding a Favicon.srt

7.39KB

Course/12. Serving a Tensorflow Model through a Website/2.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip

6.39KB

Course/12. Serving a Tensorflow Model through a Website/3.2 12 TF SavedModel Export Completed.ipynb.zip

6.13KB

Course/12. Serving a Tensorflow Model through a Website/7.3 x_test1_ylabel2.txt

4.59KB

Course/12. Serving a Tensorflow Model through a Website/7.2 x_test0_ylabel7.txt

4.59KB

Course/12. Serving a Tensorflow Model through a Website/7.1 x_test2_ylabel1.txt

4.59KB

Course/12. Serving a Tensorflow Model through a Website/18. Any Feedback on this Section.html

500B

Course/13. Next Steps/1. Where next.html

3.93KB

Course/13. Next Steps/3. Stay in Touch!.html

1.05KB

Course/13. Next Steps/2. What Modules Do You Want to See.html

431B

Course/2. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.mp4

148.15MB

Course/2. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.mp4

105.16MB

Course/2. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.mp4

97.02MB

Course/2. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.mp4

30.32MB

Course/2. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.mp4

29.63MB

Course/2. Predict Movie Box Office Revenue with Linear Regression/2.2 cost_revenue_dirty.csv

374.68KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/3.2 cost_revenue_clean.csv

90.82KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/6.1 01 Linear Regression (complete).ipynb.zip

75.28KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/4.1 01 Linear Regression (checkpoint).ipynb.zip

37.64KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.srt

31.02KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.srt

22.41KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.srt

13.93KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.srt

10.84KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.srt

8.74KB

Course/2. Predict Movie Box Office Revenue with Linear Regression/7. Join the Student Community.html

730B

Course/2. Predict Movie Box Office Revenue with Linear Regression/8. Any Feedback on this Section.html

512B

Course/2. Predict Movie Box Office Revenue with Linear Regression/6. Download the Complete Notebook Here.html

242B

Course/2. Predict Movie Box Office Revenue with Linear Regression/1.1 Course Resources.html

122B

Course/2. Predict Movie Box Office Revenue with Linear Regression/2.1 The-Numbers Movie Budgets.html

102B

Course/2. Predict Movie Box Office Revenue with Linear Regression/3.1 Try Jupyter in your Browser.html

85B

Course/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4

232.07MB

Course/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4

171.46MB

Course/3. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4

169.98MB

Course/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4

156.77MB

Course/3. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4

153.2MB

Course/3. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.mp4

128.2MB

Course/3. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.mp4

82.63MB

Course/3. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.mp4

81.53MB

Course/3. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.mp4

71.36MB

Course/3. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.mp4

53.47MB

Course/3. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.mp4

52.41MB

Course/3. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.mp4

49.6MB

Course/3. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.mp4

42.25MB

Course/3. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.mp4

41.61MB

Course/3. Python Programming for Data Science and Machine Learning/4.1 12 Rules to Learn to Code.pdf

2.25MB

Course/3. Python Programming for Data Science and Machine Learning/21.1 02 Python Intro.ipynb.zip

36.44KB

Course/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.srt

36.12KB

Course/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.srt

29.86KB

Course/3. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.srt

28.09KB

Course/3. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.srt

27.29KB

Course/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.srt

26.51KB

Course/3. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.srt

20.76KB

Course/3. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.srt

16.72KB

Course/3. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.srt

16.55KB

Course/3. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.srt

16.55KB

Course/3. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.srt

12.15KB

Course/3. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.srt

10.49KB

Course/3. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.srt

8.78KB

Course/3. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.srt

8.05KB

Course/3. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.srt

7.35KB

Course/3. Python Programming for Data Science and Machine Learning/4. Download the 12 Rules to Learn to Code.html

1.13KB

Course/3. Python Programming for Data Science and Machine Learning/22. Any Feedback on this Section.html

513B

Course/3. Python Programming for Data Science and Machine Learning/21. Download the Complete Notebook Here.html

242B

Course/3. Python Programming for Data Science and Machine Learning/6. Python Variable Coding Exercise.html

156B

Course/3. Python Programming for Data Science and Machine Learning/12. Python Functions Coding Exercise - Part 1.html

156B

Course/3. Python Programming for Data Science and Machine Learning/14. Python Functions Coding Exercise - Part 2.html

156B

Course/3. Python Programming for Data Science and Machine Learning/16. Python Functions Coding Exercise - Part 3.html

156B

Course/3. Python Programming for Data Science and Machine Learning/8. Python Lists Coding Exercise.html

156B

Course/3. Python Programming for Data Science and Machine Learning/9.1 lsd_math_score_data.csv

155B

Course/3. Python Programming for Data Science and Machine Learning/2.1 Course Resources.html

122B

Course/3. Python Programming for Data Science and Machine Learning/1.1 Course Resources.html

122B

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4

291.33MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4

287.46MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4

236.6MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4

219.01MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4

193.48MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.mp4

140.81MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4

132.81MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.mp4

131.07MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4

124.88MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.mp4

111.22MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.mp4

90.52MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.mp4

90.17MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.mp4

86.9MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp4

86.82MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.mp4

81.11MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.mp4

74.81MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4

73.16MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.mp4

71.33MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.mp4

66.21MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).mp4

64.56MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.mp4

22.78MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.mp4

20.92MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/24.1 03 Gradient Descent.ipynb.zip

1.14MB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.srt

44.03KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).srt

42.99KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.srt

37.72KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).srt

33.54KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.srt

26.1KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.srt

22.96KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.srt

22.32KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.srt

20.23KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.srt

18.1KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.srt

18.07KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).srt

17.45KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.srt

17.28KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).srt

13.94KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.srt

13.56KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.srt

13.52KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.srt

12.93KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).srt

12.61KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.srt

10.73KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.srt

9.49KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.srt

8.91KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.srt

7.22KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.srt

3.83KB

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/25. Any Feedback on this Section.html

520B

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/24. Download the Complete Notebook Here.html

242B

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/7. Python Loops Coding Exercise.html

156B

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/1.1 Course Resources.html

122B

Course/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4

244.17MB

Course/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4

214.4MB

Course/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4

168.65MB

Course/5. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4

153.01MB

Course/5. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4

152.68MB

Course/5. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.mp4

150.15MB

Course/5. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.mp4

143.82MB

Course/5. Predict House Prices with Multivariable Linear Regression/7. Working with Index Data, Pandas Series, and Dummy Variables.mp4

140.76MB

Course/5. Predict House Prices with Multivariable Linear Regression/4. Clean and Explore the Data (Part 2) Find Missing Values.mp4

135.02MB

Course/5. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4

134.38MB

Course/5. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4

131.31MB

Course/5. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.mp4

128.53MB

Course/5. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.mp4

126.87MB

Course/5. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.mp4

124.42MB

Course/5. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.mp4

111.43MB

Course/5. Predict House Prices with Multivariable Linear Regression/3. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4

87.14MB

Course/5. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4

84.85MB

Course/5. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.mp4

65.41MB

Course/5. Predict House Prices with Multivariable Linear Regression/5. Visualising Data (Part 1) Historams, Distributions & Outliers.mp4

64.55MB

Course/5. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.mp4

64.34MB

Course/5. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.mp4

64.18MB

Course/5. Predict House Prices with Multivariable Linear Regression/8. Understanding Descriptive Statistics the Mean vs the Median.mp4

62.18MB

Course/5. Predict House Prices with Multivariable Linear Regression/6. Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4

57.32MB

Course/5. Predict House Prices with Multivariable Linear Regression/2. Gathering the Boston House Price Data.mp4

56.24MB

Course/5. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.mp4

55.56MB

Course/5. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.mp4

48.8MB

Course/5. Predict House Prices with Multivariable Linear Regression/1. Defining the Problem.mp4

39.91MB

Course/5. Predict House Prices with Multivariable Linear Regression/9. Introduction to Correlation Understanding Strength & Direction.mp4

33.09MB

Course/5. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.mp4

32.4MB

Course/5. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.mp4

15.99MB

Course/5. Predict House Prices with Multivariable Linear Regression/33.1 04 Multivariable Regression.ipynb.zip

3.54MB

Course/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.srt

28.7KB

Course/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.srt

28.42KB

Course/5. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.srt

25.62KB

Course/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.srt

24.37KB

Course/5. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.srt

23.72KB

Course/5. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.srt

23.14KB

Course/5. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.srt

22.76KB

Course/5. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.srt

21.61KB

Course/5. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).srt

21.4KB

Course/5. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.srt

20.82KB

Course/5. Predict House Prices with Multivariable Linear Regression/7. Working with Index Data, Pandas Series, and Dummy Variables.srt

20.72KB

Course/5. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.srt

20.56KB

Course/5. Predict House Prices with Multivariable Linear Regression/4. Clean and Explore the Data (Part 2) Find Missing Values.srt

18.59KB

Course/5. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.srt

18.24KB

Course/5. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.srt

17.83KB

Course/5. Predict House Prices with Multivariable Linear Regression/3. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.srt

15.59KB

Course/5. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.srt

14.76KB

Course/5. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.srt

14.76KB

Course/5. Predict House Prices with Multivariable Linear Regression/5. Visualising Data (Part 1) Historams, Distributions & Outliers.srt

14.24KB

Course/5. Predict House Prices with Multivariable Linear Regression/8. Understanding Descriptive Statistics the Mean vs the Median.srt

12.14KB

Course/5. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.srt

11.55KB

Course/5. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.srt

10.78KB

Course/5. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.srt

9.77KB

Course/5. Predict House Prices with Multivariable Linear Regression/6. Visualising Data (Part 2) Seaborn and Probability Density Functions.srt

8.98KB

Course/5. Predict House Prices with Multivariable Linear Regression/2. Gathering the Boston House Price Data.srt

8.66KB

Course/5. Predict House Prices with Multivariable Linear Regression/9. Introduction to Correlation Understanding Strength & Direction.srt

8.4KB

Course/5. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.srt

7.52KB

Course/5. Predict House Prices with Multivariable Linear Regression/1. Defining the Problem.srt

6.46KB

Course/5. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.srt

4.42KB

Course/5. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.srt

3.81KB

Course/5. Predict House Prices with Multivariable Linear Regression/33.3 boston_valuation.py

3.05KB

Course/5. Predict House Prices with Multivariable Linear Regression/33.2 04 Valuation Tool.ipynb.zip

2.93KB

Course/5. Predict House Prices with Multivariable Linear Regression/34. Any Feedback on this Section.html

512B

Course/5. Predict House Prices with Multivariable Linear Regression/13. A Note for the Next Lesson.html

476B

Course/5. Predict House Prices with Multivariable Linear Regression/33. Download the Complete Notebook Here.html

242B

Course/5. Predict House Prices with Multivariable Linear Regression/31. Python Conditional Statement Coding Exercise.html

156B

Course/5. Predict House Prices with Multivariable Linear Regression/1.1 Course Resources.html

122B

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/6. Joint & Conditional Probability.mp4

141.82MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4

137.23MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.mp4

133.16MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.mp4

131.37MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.mp4

127.29MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4

121.94MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4

117.75MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2. Gathering Email Data and Working with Archives & Text Editors.mp4

112.05MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.mp4

106.96MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/9. Reading Files (Part 2) Stream Objects and Email Structure.mp4

104.32MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.mp4

98.44MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.mp4

96.37MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.mp4

95.82MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.mp4

90.68MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.mp4

87.62MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/25. [Python] - Logical Operators to Create Subsets and Indices.mp4

86.41MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/7. Bayes Theorem.mp4

83.6MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.mp4

83.39MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4

80.5MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.mp4

79.48MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.mp4

71.44MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.mp4

61.83MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.mp4

61.78MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/8. Reading Files (Part 1) Absolute Paths and Relative Paths.mp4

60.9MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.mp4

57.1MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.mp4

56.35MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.mp4

54.47MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/22. Creating a Function for Text Processing.mp4

53.91MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).mp4

50.81MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.mp4

48.66MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.mp4

47.43MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/1. How to Translate a Business Problem into a Machine Learning Problem.mp4

42.26MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/4. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4

33.39MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.mp4

32.34MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.mp4

28.92MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/3. How to Add the Lesson Resources to the Project.mp4

28.9MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/5. Basic Probability.mp4

28.55MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2.1 SpamData.zip

21.29MB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39.1 06 Bayes Classifier - Pre-Processing.ipynb.zip

978.02KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.srt

22.34KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.srt

22.32KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/6. Joint & Conditional Probability.srt

19.86KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.srt

19.07KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.srt

17.96KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.srt

17.79KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.srt

16.72KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.srt

16.19KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/25. [Python] - Logical Operators to Create Subsets and Indices.srt

15.5KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.srt

15.26KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/7. Bayes Theorem.srt

15.16KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.srt

14.79KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/9. Reading Files (Part 2) Stream Objects and Email Structure.srt

14.57KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2. Gathering Email Data and Working with Archives & Text Editors.srt

14.13KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.srt

13.67KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.srt

13.65KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.srt

13.53KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.srt

12.18KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.srt

11.97KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/8. Reading Files (Part 1) Absolute Paths and Relative Paths.srt

11.71KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.srt

11.01KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.srt

10.56KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/1. How to Translate a Business Problem into a Machine Learning Problem.srt

9.69KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.srt

9.56KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.srt

9.23KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/22. Creating a Function for Text Processing.srt

8.41KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).srt

8.19KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.srt

7.54KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.srt

7.23KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.srt

6.92KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.srt

6.08KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/4. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.srt

6.08KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.srt

6KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.srt

5.99KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/5. Basic Probability.srt

5.26KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/3. How to Add the Lesson Resources to the Project.srt

4.96KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.srt

4.5KB

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/40. Any Feedback on this Section.html

519B

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/23. A Note for the Next Lesson.html

476B

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39. Download the Complete Notebook Here.html

242B

Course/6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/1.1 Course Resources.html

122B

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/2. Create a Full Matrix.mp4

132.24MB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/3. Count the Tokens to Train the Naive Bayes Model.mp4

96.18MB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1. Setting up the Notebook and Understanding Delimiters in a Dataset.mp4

72.5MB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/5. Calculate the Token Probabilities and Save the Trained Model.mp4

53.45MB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/4. Sum the Tokens across the Spam and Ham Subsets.mp4

46.71MB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/6. Coding Challenge Prepare the Test Data.mp4

35.6MB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1.2 SpamData.zip

22.32MB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/2. Create a Full Matrix.srt

21.72KB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/3. Count the Tokens to Train the Naive Bayes Model.srt

18.35KB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1. Setting up the Notebook and Understanding Delimiters in a Dataset.srt

11.17KB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/5. Calculate the Token Probabilities and Save the Trained Model.srt

9.44KB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/4. Sum the Tokens across the Spam and Ham Subsets.srt

7.76KB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/7.1 07 Bayes Classifier - Training.ipynb.zip

5.82KB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/6. Coding Challenge Prepare the Test Data.srt

5.14KB

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/8. Any Feedback on this Section.html

527B

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/7. Download the Complete Notebook Here.html

242B

Course/7. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1.1 Course Resources.html

122B

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4

205.31MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4

195.1MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/2. Joint Conditional Probability (Part 1) Dot Product.mp4

66.4MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/3. Joint Conditional Probablity (Part 2) Priors.mp4

63.98MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/7. False Positive vs False Negatives.mp4

63.25MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/9. The Precision Metric.mp4

53.33MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/4. Making Predictions Comparing Joint Probabilities.mp4

52.34MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/5. The Accuracy Metric.mp4

40.54MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/8. The Recall Metric.mp4

28.15MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/1. Set up the Testing Notebook.mp4

26.45MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.mp4

24.71MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/1.1 SpamData.zip

22.83MB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/12.2 07 Bayes Classifier - Testing, Inference & Evaluation.ipynb.zip

243.05KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.srt

33.68KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.srt

33.44KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/12.1 08 Naive Bayes with scikit-learn.ipynb.zip

13.26KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/7. False Positive vs False Negatives.srt

12.81KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/2. Joint Conditional Probability (Part 1) Dot Product.srt

12.72KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/3. Joint Conditional Probablity (Part 2) Priors.srt

10.54KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/4. Making Predictions Comparing Joint Probabilities.srt

9.67KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/9. The Precision Metric.srt

9.5KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/5. The Accuracy Metric.srt

7.65KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/8. The Recall Metric.srt

6.54KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.srt

4.48KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/1. Set up the Testing Notebook.srt

3.82KB

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/13. Any Feedback on this Section.html

509B

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/12. Download the Complete Notebook Here.html

242B

Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/1.2 Course Resources.html

122B

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/2. Layers, Feature Generation and Learning.mp4

146.7MB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/6. Making Predictions using InceptionResNet.mp4

134.58MB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/7. Coding Challenge Solution Using other Keras Models.mp4

103.53MB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/4. Preprocessing Image Data and How RGB Works.mp4

93.6MB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/3. Costs and Disadvantages of Neural Networks.mp4

91.98MB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/5. Importing Keras Models and the Tensorflow Graph.mp4

65.47MB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/1. The Human Brain and the Inspiration for Artificial Neural Networks.mp4

51.81MB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/8.1 09 Neural Nets Pretrained Image Classification.ipynb.zip

571.83KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/4.1 TF_Keras_Classification_Images.zip

501.1KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/2. Layers, Feature Generation and Learning.srt

27.79KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/3. Costs and Disadvantages of Neural Networks.srt

19.24KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/6. Making Predictions using InceptionResNet.srt

18.9KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/4. Preprocessing Image Data and How RGB Works.srt

16.15KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/7. Coding Challenge Solution Using other Keras Models.srt

12.94KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/5. Importing Keras Models and the Tensorflow Graph.srt

11.44KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/1. The Human Brain and the Inspiration for Artificial Neural Networks.srt

10.88KB

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/9. Any Feedback on this Section.html

526B

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/8. Download the Complete Notebook Here.html

264B

Course/9. Introduction to Neural Networks and How to Use Pre-Trained Models/1.1 Course Resources.html

122B

Course/Read me first!.txt

265B

[TGx]Downloaded from torrentgalaxy.to .txt

642B

Read me first!.txt

265B

Torrent downloaded from Demonoid.is.txt

112B

Torrent downloaded from ettvcentral.com.txt

110B

Torrent downloaded from 1337x.to.txt

100B

Latest Search:

1.mbrba-123-c 2.Palace Shoals 3.KRBV-217 4.MUCD315 5.bmw200 6.roxx 7.SAMA-917 8.SKY-026 9.Mors hus 10.NFBusty 2160p 11.私の言うこと聞きなさい 12.HandsOnHardcore.07.12.17 13.Californication (2007) 14.Falling 15.nonude 16.kit@h 17.love your 18.Pornhub 19.MGMQ-033 20.solo star wars story 21.rae lil black 22.Stars174 23.PME-268 24.Michelle Monaghan 25.MKY-SV-013 26.start-151 27.bangbros VICTORIA WHITE 28.Ugoite 29.112813_050 30.Eise