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GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

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GetFreeCourses Co Udemy Complete 2022 Data Science Machine Learning Bootcamp

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File Name

Size

01 - Introduction to the Course/001 What is Machine Learning.mp4

40.37MB

01 - Introduction to the Course/001 What is Machine Learning_en.vtt

6.02KB

01 - Introduction to the Course/002 What is Data Science.mp4

39.83MB

01 - Introduction to the Course/002 What is Data Science_en.vtt

5.04KB

01 - Introduction to the Course/003 Download the Syllabus.html

994B

01 - Introduction to the Course/004 Top Tips for Succeeding on this Course.html

2.06KB

01 - Introduction to the Course/005 Course Resources List.html

1.12KB

01 - Introduction to the Course/18162714-ML-Data-Science-Syllabus.pdf

103.97KB

01 - Introduction to the Course/external-assets-links.txt

120B

02 - Predict Movie Box Office Revenue with Linear Regression/001 Introduction to Linear Regression & Specifying the Problem.mp4

26.51MB

02 - Predict Movie Box Office Revenue with Linear Regression/001 Introduction to Linear Regression & Specifying the Problem_en.vtt

7.58KB

02 - Predict Movie Box Office Revenue with Linear Regression/002 Gather & Clean the Data.mp4

40.86MB

02 - Predict Movie Box Office Revenue with Linear Regression/002 Gather & Clean the Data_en.vtt

12.2KB

02 - Predict Movie Box Office Revenue with Linear Regression/003 Explore & Visualise the Data with Python.mp4

105.12MB

02 - Predict Movie Box Office Revenue with Linear Regression/003 Explore & Visualise the Data with Python_en.vtt

26.99KB

02 - Predict Movie Box Office Revenue with Linear Regression/004 The Intuition behind the Linear Regression Model.mp4

12.86MB

02 - Predict Movie Box Office Revenue with Linear Regression/004 The Intuition behind the Linear Regression Model_en.vtt

9.45KB

02 - Predict Movie Box Office Revenue with Linear Regression/005 Analyse and Evaluate the Results.mp4

75.46MB

02 - Predict Movie Box Office Revenue with Linear Regression/005 Analyse and Evaluate the Results_en.vtt

19.58KB

02 - Predict Movie Box Office Revenue with Linear Regression/006 Download the Complete Notebook Here.html

242B

02 - Predict Movie Box Office Revenue with Linear Regression/007 Join the Student Community.html

715B

02 - Predict Movie Box Office Revenue with Linear Regression/008 Any Feedback on this Section.html

512B

02 - Predict Movie Box Office Revenue with Linear Regression/18175084-01-Linear-Regression-checkpoint.ipynb.zip

37.64KB

02 - Predict Movie Box Office Revenue with Linear Regression/18175146-01-Linear-Regression-complete.ipynb.zip

75.28KB

02 - Predict Movie Box Office Revenue with Linear Regression/9246634-cost-revenue-dirty.csv

374.68KB

02 - Predict Movie Box Office Revenue with Linear Regression/9249290-cost-revenue-clean.csv

90.82KB

02 - Predict Movie Box Office Revenue with Linear Regression/external-assets-links.txt

212B

03 - Python Programming for Data Science and Machine Learning/001 Windows Users - Install Anaconda.mp4

32.19MB

03 - Python Programming for Data Science and Machine Learning/001 Windows Users - Install Anaconda_en.vtt

7.72KB

03 - Python Programming for Data Science and Machine Learning/002 Mac Users - Install Anaconda.mp4

39.12MB

03 - Python Programming for Data Science and Machine Learning/002 Mac Users - Install Anaconda_en.vtt

7.07KB

03 - Python Programming for Data Science and Machine Learning/003 Does LSD Make You Better at Maths.mp4

15.63MB

03 - Python Programming for Data Science and Machine Learning/003 Does LSD Make You Better at Maths_en.vtt

6.42KB

03 - Python Programming for Data Science and Machine Learning/004 Download the 12 Rules to Learn to Code.html

1.12KB

03 - Python Programming for Data Science and Machine Learning/005 [Python] - Variables and Types.mp4

47.55MB

03 - Python Programming for Data Science and Machine Learning/005 [Python] - Variables and Types_en.vtt

14.49KB

03 - Python Programming for Data Science and Machine Learning/006 [Python] - Lists and Arrays.mp4

35.09MB

03 - Python Programming for Data Science and Machine Learning/006 [Python] - Lists and Arrays_en.vtt

10.55KB

03 - Python Programming for Data Science and Machine Learning/007 [Python & Pandas] - Dataframes and Series.mp4

101.4MB

03 - Python Programming for Data Science and Machine Learning/007 [Python & Pandas] - Dataframes and Series_en.vtt

24.43KB

03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4

186.86MB

03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports_en.vtt

31.45KB

03 - Python Programming for Data Science and Machine Learning/009 [Python] - Functions - Part 1 Defining and Calling Functions.mp4

27.38MB

03 - Python Programming for Data Science and Machine Learning/009 [Python] - Functions - Part 1 Defining and Calling Functions_en.vtt

9.15KB

03 - Python Programming for Data Science and Machine Learning/010 [Python] - Functions - Part 2 Arguments & Parameters.mp4

99.44MB

03 - Python Programming for Data Science and Machine Learning/010 [Python] - Functions - Part 2 Arguments & Parameters_en.vtt

18.18KB

03 - Python Programming for Data Science and Machine Learning/011 [Python] - Functions - Part 3 Results & Return Values.mp4

54.13MB

03 - Python Programming for Data Science and Machine Learning/011 [Python] - Functions - Part 3 Results & Return Values_en.vtt

14.46KB

03 - Python Programming for Data Science and Machine Learning/012 [Python] - Objects - Understanding Attributes and Methods.mp4

125.35MB

03 - Python Programming for Data Science and Machine Learning/012 [Python] - Objects - Understanding Attributes and Methods_en.vtt

25.93KB

03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4

138.12MB

03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation_en.vtt

23.06KB

03 - Python Programming for Data Science and Machine Learning/014 Working with Python Objects to Analyse Data.mp4

135.45MB

03 - Python Programming for Data Science and Machine Learning/014 Working with Python Objects to Analyse Data_en.vtt

23.55KB

03 - Python Programming for Data Science and Machine Learning/015 [Python] - Tips, Code Style and Naming Conventions.mp4

67.18MB

03 - Python Programming for Data Science and Machine Learning/015 [Python] - Tips, Code Style and Naming Conventions_en.vtt

14.66KB

03 - Python Programming for Data Science and Machine Learning/016 Download the Complete Notebook Here.html

242B

03 - Python Programming for Data Science and Machine Learning/017 Any Feedback on this Section.html

513B

03 - Python Programming for Data Science and Machine Learning/18179882-02-Python-Intro.ipynb.zip

36.44KB

03 - Python Programming for Data Science and Machine Learning/18204473-12-Rules-to-Learn-to-Code.pdf

2.25MB

03 - Python Programming for Data Science and Machine Learning/18877814-lsd-math-score-data.csv

155B

03 - Python Programming for Data Science and Machine Learning/GetFreeCourses.Co.url

116B

03 - Python Programming for Data Science and Machine Learning/external-assets-links.txt

83B

04 - Introduction to Optimisation and the Gradient Descent Algorithm/001 What's Coming Up.mp4

12.92MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/001 What's Coming Up_en.vtt

3.36KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/002 How a Machine Learns.mp4

10.47MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/002 How a Machine Learns_en.vtt

6.32KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/003 Introduction to Cost Functions.mp4

39.02MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/003 Introduction to Cost Functions_en.vtt

8.19KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/004 LaTeX Markdown and Generating Data with Numpy.mp4

47.01MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/004 LaTeX Markdown and Generating Data with Numpy_en.vtt

14.82KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/005 Understanding the Power Rule & Creating Charts with Subplots.mp4

59.49MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/005 Understanding the Power Rule & Creating Charts with Subplots_en.vtt

15.59KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/006 [Python] - Loops and the Gradient Descent Algorithm.mp4

92.92MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/006 [Python] - Loops and the Gradient Descent Algorithm_en.vtt

37.63KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4

229.5MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1)_en.vtt

37.23KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4

145.22MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2)_en.vtt

29.03KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4

190.14MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate_en.vtt

32.56KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4

152.02MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts_en.vtt

22.61KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/011 Understanding Partial Derivatives and How to use SymPy.mp4

102.67MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/011 Understanding Partial Derivatives and How to use SymPy_en.vtt

17.62KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/012 Implementing Batch Gradient Descent with SymPy.mp4

65.49MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/012 Implementing Batch Gradient Descent with SymPy_en.vtt

11.26KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/013 [Python] - Loops and Performance Considerations.mp4

106.59MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/013 [Python] - Loops and Performance Considerations_en.vtt

15.67KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/014 Reshaping and Slicing N-Dimensional Arrays.mp4

95.11MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/014 Reshaping and Slicing N-Dimensional Arrays_en.vtt

19.97KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/015 Concatenating Numpy Arrays.mp4

32.48MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/015 Concatenating Numpy Arrays_en.vtt

7.8KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/016 Introduction to the Mean Squared Error (MSE).mp4

43.24MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/016 Introduction to the Mean Squared Error (MSE)_en.vtt

11.02KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/017 Transposing and Reshaping Arrays.mp4

58.02MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/017 Transposing and Reshaping Arrays_en.vtt

11.69KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/018 Implementing a MSE Cost Function.mp4

54.55MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/018 Implementing a MSE Cost Function_en.vtt

11.74KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/019 Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4

48.88MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/019 Understanding Nested Loops and Plotting the MSE Function (Part 1)_en.vtt

12.12KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/020 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4

96.91MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/020 Plotting the Mean Squared Error (MSE) on a Surface (Part 2)_en.vtt

14.98KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/021 Running Gradient Descent with a MSE Cost Function.mp4

74.32MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/021 Running Gradient Descent with a MSE Cost Function_en.vtt

19.24KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/022 Visualising the Optimisation on a 3D Surface.mp4

35.61MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/022 Visualising the Optimisation on a 3D Surface_en.vtt

9.35KB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/023 Download the Complete Notebook Here.html

242B

04 - Introduction to Optimisation and the Gradient Descent Algorithm/024 Any Feedback on this Section.html

520B

04 - Introduction to Optimisation and the Gradient Descent Algorithm/18179908-03-Gradient-Descent.ipynb.zip

1.14MB

04 - Introduction to Optimisation and the Gradient Descent Algorithm/external-assets-links.txt

83B

05 - Predict House Prices with Multivariable Linear Regression/001 Defining the Problem.mp4

30.02MB

05 - Predict House Prices with Multivariable Linear Regression/001 Defining the Problem_en.vtt

5.61KB

05 - Predict House Prices with Multivariable Linear Regression/002 Gathering the Boston House Price Data.mp4

47.58MB

05 - Predict House Prices with Multivariable Linear Regression/002 Gathering the Boston House Price Data_en.vtt

7.55KB

05 - Predict House Prices with Multivariable Linear Regression/003 Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4

56.73MB

05 - Predict House Prices with Multivariable Linear Regression/003 Clean and Explore the Data (Part 1) Understand the Nature of the Dataset_en.vtt

13.66KB

05 - Predict House Prices with Multivariable Linear Regression/004 Clean and Explore the Data (Part 2) Find Missing Values.mp4

107.48MB

05 - Predict House Prices with Multivariable Linear Regression/004 Clean and Explore the Data (Part 2) Find Missing Values_en.vtt

16.27KB

05 - Predict House Prices with Multivariable Linear Regression/005 Visualising Data (Part 1) Historams, Distributions & Outliers.mp4

42.62MB

05 - Predict House Prices with Multivariable Linear Regression/005 Visualising Data (Part 1) Historams, Distributions & Outliers_en.vtt

12.39KB

05 - Predict House Prices with Multivariable Linear Regression/006 Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4

37.6MB

05 - Predict House Prices with Multivariable Linear Regression/006 Visualising Data (Part 2) Seaborn and Probability Density Functions_en.vtt

7.84KB

05 - Predict House Prices with Multivariable Linear Regression/007 Working with Index Data, Pandas Series, and Dummy Variables.mp4

103.76MB

05 - Predict House Prices with Multivariable Linear Regression/007 Working with Index Data, Pandas Series, and Dummy Variables_en.vtt

17.97KB

05 - Predict House Prices with Multivariable Linear Regression/008 Understanding Descriptive Statistics the Mean vs the Median.mp4

41.03MB

05 - Predict House Prices with Multivariable Linear Regression/008 Understanding Descriptive Statistics the Mean vs the Median_en.vtt

10.64KB

05 - Predict House Prices with Multivariable Linear Regression/009 Introduction to Correlation Understanding Strength & Direction.mp4

12.92MB

05 - Predict House Prices with Multivariable Linear Regression/009 Introduction to Correlation Understanding Strength & Direction_en.vtt

7.37KB

05 - Predict House Prices with Multivariable Linear Regression/010 Calculating Correlations and the Problem posed by Multicollinearity.mp4

82.51MB

05 - Predict House Prices with Multivariable Linear Regression/010 Calculating Correlations and the Problem posed by Multicollinearity_en.vtt

15.48KB

05 - Predict House Prices with Multivariable Linear Regression/011 Visualising Correlations with a Heatmap.mp4

108.43MB

05 - Predict House Prices with Multivariable Linear Regression/011 Visualising Correlations with a Heatmap_en.vtt

21.22KB

05 - Predict House Prices with Multivariable Linear Regression/012 Techniques to Style Scatter Plots.mp4

83.87MB

05 - Predict House Prices with Multivariable Linear Regression/012 Techniques to Style Scatter Plots_en.vtt

18.04KB

05 - Predict House Prices with Multivariable Linear Regression/013 A Note for the Next Lesson.html

476B

05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4

175.24MB

05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques_en.vtt

25KB

05 - Predict House Prices with Multivariable Linear Regression/015 Understanding Multivariable Regression.mp4

31.51MB

05 - Predict House Prices with Multivariable Linear Regression/015 Understanding Multivariable Regression_en.vtt

6.57KB

05 - Predict House Prices with Multivariable Linear Regression/016 How to Shuffle and Split Training & Testing Data.mp4

45.09MB

05 - Predict House Prices with Multivariable Linear Regression/016 How to Shuffle and Split Training & Testing Data_en.vtt

9.99KB

05 - Predict House Prices with Multivariable Linear Regression/017 Running a Multivariable Regression.mp4

40.2MB

05 - Predict House Prices with Multivariable Linear Regression/017 Running a Multivariable Regression_en.vtt

8.53KB

05 - Predict House Prices with Multivariable Linear Regression/018 How to Calculate the Model Fit with R-Squared.mp4

21.48MB

05 - Predict House Prices with Multivariable Linear Regression/018 How to Calculate the Model Fit with R-Squared_en.vtt

3.84KB

05 - Predict House Prices with Multivariable Linear Regression/019 Introduction to Model Evaluation.mp4

7.34MB

05 - Predict House Prices with Multivariable Linear Regression/019 Introduction to Model Evaluation_en.vtt

3.31KB

05 - Predict House Prices with Multivariable Linear Regression/020 Improving the Model by Transforming the Data.mp4

81.41MB

05 - Predict House Prices with Multivariable Linear Regression/020 Improving the Model by Transforming the Data_en.vtt

18.78KB

05 - Predict House Prices with Multivariable Linear Regression/021 How to Interpret Coefficients using p-Values and Statistical Significance.mp4

49.02MB

05 - Predict House Prices with Multivariable Linear Regression/021 How to Interpret Coefficients using p-Values and Statistical Significance_en.vtt

9.48KB

05 - Predict House Prices with Multivariable Linear Regression/022 Understanding VIF & Testing for Multicollinearity.mp4

105.42MB

05 - Predict House Prices with Multivariable Linear Regression/022 Understanding VIF & Testing for Multicollinearity_en.vtt

22.29KB

05 - Predict House Prices with Multivariable Linear Regression/023 Model Simplification & Baysian Information Criterion.mp4

119.72MB

05 - Predict House Prices with Multivariable Linear Regression/023 Model Simplification & Baysian Information Criterion_en.vtt

20.18KB

05 - Predict House Prices with Multivariable Linear Regression/024 How to Analyse and Plot Regression Residuals.mp4

28.05MB

05 - Predict House Prices with Multivariable Linear Regression/024 How to Analyse and Plot Regression Residuals_en.vtt

12.85KB

05 - Predict House Prices with Multivariable Linear Regression/025 Residual Analysis (Part 1) Predicted vs Actual Values.mp4

81.48MB

05 - Predict House Prices with Multivariable Linear Regression/025 Residual Analysis (Part 1) Predicted vs Actual Values_en.vtt

15.74KB

05 - Predict House Prices with Multivariable Linear Regression/026 Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4

99.19MB

05 - Predict House Prices with Multivariable Linear Regression/026 Residual Analysis (Part 2) Graphing and Comparing Regression Residuals_en.vtt

19.68KB

05 - Predict House Prices with Multivariable Linear Regression/027 Making Predictions (Part 1) MSE & R-Squared.mp4

126.58MB

05 - Predict House Prices with Multivariable Linear Regression/027 Making Predictions (Part 1) MSE & R-Squared_en.vtt

20.51KB

05 - Predict House Prices with Multivariable Linear Regression/028 Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4

63.72MB

05 - Predict House Prices with Multivariable Linear Regression/028 Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals_en.vtt

12.88KB

05 - Predict House Prices with Multivariable Linear Regression/029 Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4

102.57MB

05 - Predict House Prices with Multivariable Linear Regression/029 Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays_en.vtt

17.87KB

05 - Predict House Prices with Multivariable Linear Regression/030 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4

90.12MB

05 - Predict House Prices with Multivariable Linear Regression/030 [Python] - Conditional Statements - Build a Valuation Tool (Part 2)_en.vtt

18.44KB

05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4

200.93MB

05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module_en.vtt

24.52KB

05 - Predict House Prices with Multivariable Linear Regression/032 Download the Complete Notebook Here.html

242B

05 - Predict House Prices with Multivariable Linear Regression/033 Any Feedback on this Section.html

512B

05 - Predict House Prices with Multivariable Linear Regression/18179918-04-Multivariable-Regression.ipynb.zip

3.54MB

05 - Predict House Prices with Multivariable Linear Regression/18179928-04-Valuation-Tool.ipynb.zip

2.93KB

05 - Predict House Prices with Multivariable Linear Regression/18905386-boston-valuation.py

3.05KB

05 - Predict House Prices with Multivariable Linear Regression/external-assets-links.txt

83B

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/001 How to Translate a Business Problem into a Machine Learning Problem.mp4

31.01MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/001 How to Translate a Business Problem into a Machine Learning Problem_en.vtt

8.46KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/002 Gathering Email Data and Working with Archives & Text Editors.mp4

95.99MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/002 Gathering Email Data and Working with Archives & Text Editors_en.vtt

12.26KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/003 How to Add the Lesson Resources to the Project.mp4

18.95MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/003 How to Add the Lesson Resources to the Project_en.vtt

4.24KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/004 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4

29.41MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/004 The Naive Bayes Algorithm and the Decision Boundary for a Classifier_en.vtt

5.36KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/005 Basic Probability.mp4

9.4MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/005 Basic Probability_en.vtt

4.62KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/006 Joint & Conditional Probability.mp4

88.31MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/006 Joint & Conditional Probability_en.vtt

17.25KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/007 Bayes Theorem.mp4

51.07MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/007 Bayes Theorem_en.vtt

13.19KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/008 Reading Files (Part 1) Absolute Paths and Relative Paths.mp4

39.54MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/008 Reading Files (Part 1) Absolute Paths and Relative Paths_en.vtt

10.29KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/009 Reading Files (Part 2) Stream Objects and Email Structure.mp4

87.76MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/009 Reading Files (Part 2) Stream Objects and Email Structure_en.vtt

12.75KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/010 Extracting the Text in the Email Body.mp4

30.49MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/010 Extracting the Text in the Email Body_en.vtt

5.19KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/011 [Python] - Generator Functions & the yield Keyword.mp4

104.22MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/011 [Python] - Generator Functions & the yield Keyword_en.vtt

19.48KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/012 Create a Pandas DataFrame of Email Bodies.mp4

37.37MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/012 Create a Pandas DataFrame of Email Bodies_en.vtt

6.24KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/013 Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4

90.33MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/013 Cleaning Data (Part 1) Check for Empty Emails & Null Entries_en.vtt

15.52KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/014 Cleaning Data (Part 2) Working with a DataFrame Index.mp4

46.5MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/014 Cleaning Data (Part 2) Working with a DataFrame Index_en.vtt

7.95KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/015 Saving a JSON File with Pandas.mp4

43.41MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/015 Saving a JSON File with Pandas_en.vtt

6.09KB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/016 Data Visualisation (Part 1) Pie Charts.mp4

70.09MB

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/016 Data Visualisation (Part 1) Pie Charts_en.vtt

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/017 Data Visualisation (Part 2) Donut Charts.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/018 Introduction to Natural Language Processing (NLP).mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/019 Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/020 Word Stemming & Removing Punctuation.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/021 Removing HTML tags with BeautifulSoup.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/022 Creating a Function for Text Processing.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/023 A Note for the Next Lesson.html

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/024 Advanced Subsetting on DataFrames the apply() Function.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/025 [Python] - Logical Operators to Create Subsets and Indices.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/026 Word Clouds & How to install Additional Python Packages.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/027 Creating your First Word Cloud.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/028 Styling the Word Cloud with a Mask.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/029 Solving the Hamlet Challenge.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/030 Styling Word Clouds with Custom Fonts.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/031 Create the Vocabulary for the Spam Classifier.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/032 Coding Challenge Check for Membership in a Collection.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/033 Coding Challenge Find the Longest Email.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/034 Sparse Matrix (Part 1) Split the Training and Testing Data.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/035 Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/036 Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/037 Coding Challenge Solution Preparing the Test Data.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/038 Checkpoint Understanding the Data.mp4

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06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/039 Download the Complete Notebook Here.html

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07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/001 Setting up the Notebook and Understanding Delimiters in a Dataset.mp4

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07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/002 Create a Full Matrix.mp4

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07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/003 Count the Tokens to Train the Naive Bayes Model.mp4

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07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/004 Sum the Tokens across the Spam and Ham Subsets.mp4

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07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/005 Calculate the Token Probabilities and Save the Trained Model.mp4

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07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/006 Coding Challenge Prepare the Test Data.mp4

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07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2/007 Download the Complete Notebook Here.html

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/001 Set up the Testing Notebook.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/002 Joint Conditional Probability (Part 1) Dot Product.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/004 Making Predictions Comparing Joint Probabilities.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/005 The Accuracy Metric.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/007 False Positive vs False Negatives.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/008 The Recall Metric.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4

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08 - Test and Evaluate a Naive Bayes Classifier Part 3/012 Download the Complete Notebook Here.html

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09 - Introduction to Neural Networks and How to Use Pre-Trained Models/001 The Human Brain and the Inspiration for Artificial Neural Networks.mp4

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09 - Introduction to Neural Networks and How to Use Pre-Trained Models/006 Making Predictions using InceptionResNet.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/001 Solving a Business Problem with Image Classification.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/002 Installing Tensorflow and Keras for Jupyter.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/003 Gathering the CIFAR 10 Dataset.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/004 Exploring the CIFAR Data.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/005 Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/006 Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/007 Interacting with the Operating System and the Python Try-Catch Block.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/008 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/013 Download the Complete Notebook Here.html

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10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/18187728-10-Neural-Nets-Keras-CIFAR10-Classification.ipynb.zip

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11 - Use Tensorflow to Classify Handwritten Digits/001 What's coming up.mp4

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11 - Use Tensorflow to Classify Handwritten Digits/005 What is a Tensor.mp4

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11 - Use Tensorflow to Classify Handwritten Digits/007 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4

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11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4

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11 - Use Tensorflow to Classify Handwritten Digits/013 Prediction and Model Evaluation.mp4

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12 - Serving a Tensorflow Model through a Website/21028850-11-Neural-Networks-TF-Handwriting-Recognition.ipynb.zip

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12 - Serving a Tensorflow Model through a Website/21028876-MNIST-Model-Load-Files.zip

2.84MB

12 - Serving a Tensorflow Model through a Website/21028894-TFJS.zip

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