[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python torrent, magnet, bt

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[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python

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107

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Convert On:

2020-12-11

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Tutorialsplanet NET Udemy Data Science Supervised Machine Learning in Python

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File Name

Size

1. Introduction and Review/1. Introduction and Outline.mp4

7.62MB

1. Introduction and Review/1. Introduction and Outline.srt

5.69KB

1. Introduction and Review/2. Review of Important Concepts.mp4

6.01MB

1. Introduction and Review/2. Review of Important Concepts.srt

4.39KB

1. Introduction and Review/3. Where to get the Code and Data.mp4

3.86MB

1. Introduction and Review/3. Where to get the Code and Data.srt

2.59KB

1. Introduction and Review/4. How to Succeed in this Course.mp4

3.31MB

1. Introduction and Review/4. How to Succeed in this Course.srt

3.97KB

10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4

24.54MB

10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).srt

22.75KB

10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4

14.81MB

10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).srt

13.26KB

10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4

78.26MB

10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.srt

14.12KB

10. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.mp4

7.84MB

10. Extra Help With Python Coding for Beginners/4. Python 2 vs Python 3.srt

6.1KB

11. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4

13MB

11. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).srt

14.66KB

11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

38.96MB

11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt

31.79KB

11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4

29.33MB

11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).srt

16.03KB

11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4

37.62MB

11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).srt

23.04KB

12. Appendix FAQ/1. What is the Appendix.mp4

5.45MB

12. Appendix FAQ/1. What is the Appendix.srt

3.72KB

12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4

37.82MB

12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt

7.87KB

2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4

17.59MB

2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.srt

4.92KB

2. K-Nearest Neighbor/2. K-Nearest Neighbor Concepts.mp4

8.6MB

2. K-Nearest Neighbor/2. K-Nearest Neighbor Concepts.srt

6.26KB

2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4

17.96MB

2. K-Nearest Neighbor/3. KNN in Code with MNIST.srt

7.36KB

2. K-Nearest Neighbor/4. When KNN Can Fail.mp4

7.71MB

2. K-Nearest Neighbor/4. When KNN Can Fail.srt

4.57KB

2. K-Nearest Neighbor/5. KNN for the XOR Problem.mp4

4.26MB

2. K-Nearest Neighbor/5. KNN for the XOR Problem.srt

2.18KB

2. K-Nearest Neighbor/6. KNN for the Donut Problem.mp4

5.43MB

2. K-Nearest Neighbor/6. KNN for the Donut Problem.srt

2.53KB

2. K-Nearest Neighbor/7. Effect of K.mp4

35.81MB

2. K-Nearest Neighbor/7. Effect of K.srt

6.99KB

2. K-Nearest Neighbor/8. KNN Exercise.mp4

16.86MB

2. K-Nearest Neighbor/8. KNN Exercise.srt

5.46KB

2. K-Nearest Neighbor/9. Suggestion Box.mp4

16.14MB

2. K-Nearest Neighbor/9. Suggestion Box.srt

4.7KB

3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4

80.17MB

3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).srt

22.91KB

3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4

50.1MB

3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).srt

12.84KB

3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4

15.69MB

3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.srt

11.47KB

3. Naive Bayes and Bayes Classifiers/4. Naive Bayes Handwritten Example.mp4

5.83MB

3. Naive Bayes and Bayes Classifiers/4. Naive Bayes Handwritten Example.srt

3.59KB

3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4

14.44MB

3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.srt

4.79KB

3. Naive Bayes and Bayes Classifiers/6. Non-Naive Bayes.mp4

7.3MB

3. Naive Bayes and Bayes Classifiers/6. Non-Naive Bayes.srt

4.85KB

3. Naive Bayes and Bayes Classifiers/7. Bayes Classifier in Code with MNIST.mp4

4.44MB

3. Naive Bayes and Bayes Classifiers/7. Bayes Classifier in Code with MNIST.srt

1.6KB

3. Naive Bayes and Bayes Classifiers/8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).mp4

10.36MB

3. Naive Bayes and Bayes Classifiers/8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).srt

7.42KB

3. Naive Bayes and Bayes Classifiers/9. Generative vs Discriminative Models.mp4

5.12MB

3. Naive Bayes and Bayes Classifiers/9. Generative vs Discriminative Models.srt

3.13KB

4. Decision Trees/1. Decision Tree Intuition.mp4

20.38MB

4. Decision Trees/1. Decision Tree Intuition.srt

5.56KB

4. Decision Trees/2. Decision Tree Basics.mp4

8.28MB

4. Decision Trees/2. Decision Tree Basics.srt

6.15KB

4. Decision Trees/3. Information Entropy.mp4

6.99MB

4. Decision Trees/3. Information Entropy.srt

4.26KB

4. Decision Trees/4. Maximizing Information Gain.mp4

13.96MB

4. Decision Trees/4. Maximizing Information Gain.srt

9.64KB

4. Decision Trees/5. Choosing the Best Split.mp4

6.73MB

4. Decision Trees/5. Choosing the Best Split.srt

4.81KB

4. Decision Trees/6. Decision Tree in Code.mp4

30.34MB

4. Decision Trees/6. Decision Tree in Code.srt

11.14KB

5. Perceptrons/1. Perceptron Concepts.mp4

12.22MB

5. Perceptrons/1. Perceptron Concepts.srt

8.68KB

5. Perceptrons/2. Perceptron in Code.mp4

13.76MB

5. Perceptrons/2. Perceptron in Code.srt

4.69KB

5. Perceptrons/3. Perceptron for MNIST and XOR.mp4

8.74MB

5. Perceptrons/3. Perceptron for MNIST and XOR.srt

2.3KB

5. Perceptrons/4. Perceptron Loss Function.mp4

6.29MB

5. Perceptrons/4. Perceptron Loss Function.srt

4.93KB

6. Practical Machine Learning/1. Hyperparameters and Cross-Validation.mp4

7.44MB

6. Practical Machine Learning/1. Hyperparameters and Cross-Validation.srt

5.12KB

6. Practical Machine Learning/2. Feature Extraction and Feature Selection.mp4

7.1MB

6. Practical Machine Learning/2. Feature Extraction and Feature Selection.srt

4.84KB

6. Practical Machine Learning/3. Comparison to Deep Learning.mp4

8.7MB

6. Practical Machine Learning/3. Comparison to Deep Learning.srt

6.07KB

6. Practical Machine Learning/4. Multiclass Classification.mp4

5.66MB

6. Practical Machine Learning/4. Multiclass Classification.srt

4.12KB

6. Practical Machine Learning/5. Sci-Kit Learn.mp4

15.82MB

6. Practical Machine Learning/5. Sci-Kit Learn.srt

11.09KB

6. Practical Machine Learning/6. Regression with Sci-Kit Learn is Easy.mp4

10.76MB

6. Practical Machine Learning/6. Regression with Sci-Kit Learn is Easy.srt

6.09KB

7. Building a Machine Learning Web Service/1. Building a Machine Learning Web Service Concepts.mp4

7.25MB

7. Building a Machine Learning Web Service/1. Building a Machine Learning Web Service Concepts.srt

5.37KB

7. Building a Machine Learning Web Service/2. Building a Machine Learning Web Service Code.mp4

11.88MB

7. Building a Machine Learning Web Service/2. Building a Machine Learning Web Service Code.srt

7.44KB

8. Conclusion/1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).mp4

6.27MB

8. Conclusion/1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).srt

3.52KB

9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4

186.38MB

9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.srt

20.1KB

9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4

43.92MB

9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.srt

14.48KB

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