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[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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Tutorialsplanet NET Udemy Machine Learning Z™Hands On Python In Data Science

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File Name

Size

1. Welcome to the course!/1. Applications of Machine Learning.mp4

9.82MB

1. Welcome to the course!/1. Applications of Machine Learning.srt

5.3KB

1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).mp4

23.22MB

1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).srt

9.15KB

1. Welcome to the course!/11. BONUS Meet your instructors.html

1.1KB

1. Welcome to the course!/12. Some Additional Resources.html

553B

1. Welcome to the course!/13. FAQBot!.html

2.98KB

1. Welcome to the course!/14. Your Shortcut To Becoming A Better Data Scientist!.html

3.74KB

1. Welcome to the course!/2. BONUS #1 Learning Paths.html

1.39KB

1. Welcome to the course!/3. BONUS #2 ML vs. DL vs. AI - What’s the Difference.html

499B

1. Welcome to the course!/4. BONUS #3 Regression Types.html

511B

1. Welcome to the course!/5. Why Machine Learning is the Future.mp4

14.49MB

1. Welcome to the course!/5. Why Machine Learning is the Future.srt

9.23KB

1. Welcome to the course!/6. Important notes, tips & tricks for this course.html

3.3KB

1. Welcome to the course!/7. This PDF resource will help you a lot!.html

1.49KB

1. Welcome to the course!/7.1 Machine_Learning_A_Z_Q_A.pdf

2.26MB

1. Welcome to the course!/8. GET ALL THE CODES AND DATASETS HERE!.html

1.83KB

1. Welcome to the course!/8.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

1. Welcome to the course!/9. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.mp4

94.8MB

1. Welcome to the course!/9. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.srt

28.27KB

10. Decision Tree Regression/1. Decision Tree Regression Intuition.mp4

25.34MB

10. Decision Tree Regression/1. Decision Tree Regression Intuition.srt

17.06KB

10. Decision Tree Regression/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

10. Decision Tree Regression/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.27MB

10. Decision Tree Regression/3. Decision Tree Regression in Python - Step 1.mp4

42.4MB

10. Decision Tree Regression/3. Decision Tree Regression in Python - Step 1.srt

13.28KB

10. Decision Tree Regression/4. Decision Tree Regression in Python - Step 2.mp4

26.25MB

10. Decision Tree Regression/4. Decision Tree Regression in Python - Step 2.srt

26.27MB

10. Decision Tree Regression/5. Decision Tree Regression in Python - Step 3.mp4

19.47MB

10. Decision Tree Regression/5. Decision Tree Regression in Python - Step 3.srt

4.93KB

10. Decision Tree Regression/6. Decision Tree Regression in Python - Step 4.mp4

54.79MB

10. Decision Tree Regression/6. Decision Tree Regression in Python - Step 4.srt

15.47KB

10. Decision Tree Regression/7. Decision Tree Regression in R.mp4

56.24MB

10. Decision Tree Regression/7. Decision Tree Regression in R.srt

32.15KB

11. Random Forest Regression/1. Random Forest Regression Intuition.mp4

15.65MB

11. Random Forest Regression/1. Random Forest Regression Intuition.srt

10.22KB

11. Random Forest Regression/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

11. Random Forest Regression/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

11. Random Forest Regression/3. Random Forest Regression in Python.mp4

74.4MB

11. Random Forest Regression/3. Random Forest Regression in Python.srt

21.08KB

11. Random Forest Regression/4. Random Forest Regression in R.mp4

51.86MB

11. Random Forest Regression/4. Random Forest Regression in R.srt

28.11KB

12. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4

9.81MB

12. Evaluating Regression Models Performance/1. R-Squared Intuition.srt

7.17KB

12. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4

21.42MB

12. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.srt

14.45KB

13. Regression Model Selection in Python/1. Make sure you have this Model Selection folder ready.html

973B

13. Regression Model Selection in Python/1.1 Machine Learning A-Z (Model Selection).zip

160.01KB

13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4

123.59MB

13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.srt

30.2KB

13. Regression Model Selection in Python/3. THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION!.mp4

56.78MB

13. Regression Model Selection in Python/3. THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION!.srt

13.62KB

13. Regression Model Selection in Python/4. Conclusion of Part 2 - Regression.html

1.71KB

13. Regression Model Selection in Python/4.1 Regression_Bonus.zip

364.49KB

14. Regression Model Selection in R/1. Evaluating Regression Models Performance - Homework's Final Part.mp4

28.36MB

14. Regression Model Selection in R/1. Evaluating Regression Models Performance - Homework's Final Part.srt

12.93KB

14. Regression Model Selection in R/2. Interpreting Linear Regression Coefficients.mp4

27.39MB

14. Regression Model Selection in R/2. Interpreting Linear Regression Coefficients.srt

13.32KB

14. Regression Model Selection in R/3. Conclusion of Part 2 - Regression.html

1.71KB

14. Regression Model Selection in R/3.1 Regression_Bonus.zip

364.49KB

15. -------------------- Part 3 Classification --------------------/1. Welcome to Part 3 - Classification.html

831B

16. Logistic Regression/1. Logistic Regression Intuition.mp4

29.18MB

16. Logistic Regression/1. Logistic Regression Intuition.srt

23.94KB

16. Logistic Regression/10. Logistic Regression in R - Step 1.mp4

15.72MB

16. Logistic Regression/10. Logistic Regression in R - Step 1.srt

8.92KB

16. Logistic Regression/11. Logistic Regression in R - Step 2.mp4

14.85MB

16. Logistic Regression/11. Logistic Regression in R - Step 2.srt

4.35KB

16. Logistic Regression/12. Logistic Regression in R - Step 3.mp4

27.44MB

16. Logistic Regression/12. Logistic Regression in R - Step 3.srt

7.42KB

16. Logistic Regression/13. Logistic Regression in R - Step 4.mp4

11.74MB

16. Logistic Regression/13. Logistic Regression in R - Step 4.srt

3.98KB

16. Logistic Regression/14. Warning - Update.html

1.33KB

16. Logistic Regression/15. Logistic Regression in R - Step 5.mp4

93.77MB

16. Logistic Regression/15. Logistic Regression in R - Step 5.srt

29.1KB

16. Logistic Regression/16. R Classification Template.mp4

17.5MB

16. Logistic Regression/16. R Classification Template.srt

6.7KB

16. Logistic Regression/17. Machine Learning Regression and Classification BONUS.html

819B

16. Logistic Regression/18. Logistic Regression.html

125B

16. Logistic Regression/19. BONUS Logistic Regression Practical Case Study.html

619B

16. Logistic Regression/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

16. Logistic Regression/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.27MB

16. Logistic Regression/3. Logistic Regression in Python - Step 1.mp4

44.6MB

16. Logistic Regression/3. Logistic Regression in Python - Step 1.srt

14.49KB

16. Logistic Regression/4. Logistic Regression in Python - Step 2.mp4

84.67MB

16. Logistic Regression/4. Logistic Regression in Python - Step 2.srt

21.41KB

16. Logistic Regression/5. Logistic Regression in Python - Step 3.mp4

43.05MB

16. Logistic Regression/5. Logistic Regression in Python - Step 3.srt

10.89KB

16. Logistic Regression/6. Logistic Regression in Python - Step 4.mp4

45.19MB

16. Logistic Regression/6. Logistic Regression in Python - Step 4.srt

11.19KB

16. Logistic Regression/7. Logistic Regression in Python - Step 5.mp4

30.58MB

16. Logistic Regression/7. Logistic Regression in Python - Step 5.srt

9.5KB

16. Logistic Regression/8. Logistic Regression in Python - Step 6.mp4

52.97MB

16. Logistic Regression/8. Logistic Regression in Python - Step 6.srt

13.66KB

16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4

118.62MB

16. Logistic Regression/9. Logistic Regression in Python - Step 7.srt

22.52KB

17. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp4

10.49MB

17. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.srt

8.04KB

17. K-Nearest Neighbors (K-NN)/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

17. K-Nearest Neighbors (K-NN)/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4

146.62MB

17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.srt

30.75KB

17. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp4

55.78MB

17. K-Nearest Neighbors (K-NN)/4. K-NN in R.srt

23.37KB

18. Support Vector Machine (SVM)/1. K-Nearest Neighbor.html

125B

18. Support Vector Machine (SVM)/2. SVM Intuition.mp4

19.93MB

18. Support Vector Machine (SVM)/2. SVM Intuition.srt

15.72KB

18. Support Vector Machine (SVM)/3. Make sure you have your Machine Learning A-Z folder ready.html

776B

18. Support Vector Machine (SVM)/3.1 Machine Learning A-Z (Codes and Datasets).zip

5.27MB

18. Support Vector Machine (SVM)/4. SVM in Python.mp4

104.76MB

18. Support Vector Machine (SVM)/4. SVM in Python.srt

32.24MB

18. Support Vector Machine (SVM)/5. SVM in R.mp4

65.32MB

18. Support Vector Machine (SVM)/5. SVM in R.srt

18.4KB

18. Support Vector Machine (SVM)/5.1 SVM.zip

8.27KB

19. Kernel SVM/1. Kernel SVM Intuition.mp4

6.43MB

19. Kernel SVM/1. Kernel SVM Intuition.srt

4.41KB

19. Kernel SVM/2. Mapping to a higher dimension.mp4

15.4MB

19. Kernel SVM/2. Mapping to a higher dimension.srt

10.54KB

19. Kernel SVM/3. The Kernel Trick.mp4

34.73MB

19. Kernel SVM/3. The Kernel Trick.srt

16.52KB

19. Kernel SVM/4. Types of Kernel Functions.mp4

15.72MB

19. Kernel SVM/4. Types of Kernel Functions.srt

4.94KB

19. Kernel SVM/5. Non-Linear Kernel SVR (Advanced).mp4

65.65MB

19. Kernel SVM/5. Non-Linear Kernel SVR (Advanced).srt

16.03KB

19. Kernel SVM/6. Make sure you have your Machine Learning A-Z folder ready.html

776B

19. Kernel SVM/6.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

19. Kernel SVM/7. Kernel SVM in Python.mp4

88.37MB

19. Kernel SVM/7. Kernel SVM in Python.srt

20.43KB

19. Kernel SVM/8. Kernel SVM in R.mp4

52.82MB

19. Kernel SVM/8. Kernel SVM in R.srt

25.44KB

2. -------------------- Part 1 Data Preprocessing --------------------/1. Welcome to Part 1 - Data Preprocessing.html

531B

20. Naive Bayes/1. Bayes Theorem.mp4

50.43MB

20. Naive Bayes/1. Bayes Theorem.srt

34.45KB

20. Naive Bayes/2. Naive Bayes Intuition.mp4

31.1MB

20. Naive Bayes/2. Naive Bayes Intuition.srt

23.34KB

20. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp4

13.27MB

20. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).srt

9.5KB

20. Naive Bayes/4. Naive Bayes Intuition (Extras).mp4

18.95MB

20. Naive Bayes/4. Naive Bayes Intuition (Extras).srt

15.93KB

20. Naive Bayes/5. Make sure you have your Machine Learning A-Z folder ready.html

776B

20. Naive Bayes/5.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

20. Naive Bayes/6. Naive Bayes in Python.mp4

100.46MB

20. Naive Bayes/6. Naive Bayes in Python.srt

22.25KB

20. Naive Bayes/7. Naive Bayes in R.mp4

49.79MB

20. Naive Bayes/7. Naive Bayes in R.srt

82.32MB

21. Decision Tree Classification/1. Decision Tree Classification Intuition.mp4

21.63MB

21. Decision Tree Classification/1. Decision Tree Classification Intuition.srt

12.87KB

21. Decision Tree Classification/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

21. Decision Tree Classification/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4

108.05MB

21. Decision Tree Classification/3. Decision Tree Classification in Python.srt

22.26KB

21. Decision Tree Classification/4. Decision Tree Classification in R.mp4

68.19MB

21. Decision Tree Classification/4. Decision Tree Classification in R.srt

29.14KB

22. Random Forest Classification/1. Random Forest Classification Intuition.mp4

25.67MB

22. Random Forest Classification/1. Random Forest Classification Intuition.srt

7.05KB

22. Random Forest Classification/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

22. Random Forest Classification/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

22. Random Forest Classification/3. Random Forest Classification in Python.mp4

96.69MB

22. Random Forest Classification/3. Random Forest Classification in Python.srt

142.49MB

22. Random Forest Classification/4. Random Forest Classification in R.mp4

64.12MB

22. Random Forest Classification/4. Random Forest Classification in R.srt

32.4KB

23. Classification Model Selection in Python/1. Make sure you have this Model Selection folder ready.html

985B

23. Classification Model Selection in Python/1.1 Machine Learning A-Z (Model Selection).zip

160.01KB

23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4

136MB

23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.srt

34.43KB

24. Evaluating Classification Models Performance/1. False Positives & False Negatives.mp4

15.13MB

24. Evaluating Classification Models Performance/1. False Positives & False Negatives.srt

11.29KB

24. Evaluating Classification Models Performance/2. Confusion Matrix.mp4

8.92MB

24. Evaluating Classification Models Performance/2. Confusion Matrix.srt

7.51KB

24. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4

4.22MB

24. Evaluating Classification Models Performance/3. Accuracy Paradox.srt

3.24KB

24. Evaluating Classification Models Performance/4. CAP Curve.mp4

20.31MB

24. Evaluating Classification Models Performance/4. CAP Curve.srt

16.18KB

24. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4

12.95MB

24. Evaluating Classification Models Performance/5. CAP Curve Analysis.srt

9.24KB

24. Evaluating Classification Models Performance/6. Conclusion of Part 3 - Classification.html

3.35KB

24. Evaluating Classification Models Performance/6.1 Classification_Pros_Cons.pdf

29.25KB

25. -------------------- Part 4 Clustering --------------------/1. Welcome to Part 4 - Clustering.html

734B

26. K-Means Clustering/1. K-Means Clustering Intuition.mp4

29.98MB

26. K-Means Clustering/1. K-Means Clustering Intuition.srt

23.34KB

26. K-Means Clustering/10. K-Means Clustering in R.mp4

36.91MB

26. K-Means Clustering/10. K-Means Clustering in R.srt

19.44KB

26. K-Means Clustering/2. K-Means Random Initialization Trap.mp4

15.37MB

26. K-Means Clustering/2. K-Means Random Initialization Trap.srt

12.95KB

26. K-Means Clustering/3. K-Means Selecting The Number Of Clusters.mp4

25.69MB

26. K-Means Clustering/3. K-Means Selecting The Number Of Clusters.srt

18.46KB

26. K-Means Clustering/4. Make sure you have your Machine Learning A-Z folder ready.html

776B

26. K-Means Clustering/4.1 Machine Learning A-Z (Codes and Datasets).zip

5.27MB

26. K-Means Clustering/5. K-Means Clustering in Python - Step 1.mp4

38.09MB

26. K-Means Clustering/5. K-Means Clustering in Python - Step 1.srt

12.88KB

26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.mp4

54.08MB

26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt

167.3MB

26. K-Means Clustering/7. K-Means Clustering in Python - Step 3.mp4

81.34MB

26. K-Means Clustering/7. K-Means Clustering in Python - Step 3.srt

23.64KB

26. K-Means Clustering/8. K-Means Clustering in Python - Step 4.mp4

35.1MB

26. K-Means Clustering/8. K-Means Clustering in Python - Step 4.srt

9.4KB

26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4

120.51MB

26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.srt

29.09KB

27. Hierarchical Clustering/1. K-Means Clustering.html

125B

27. Hierarchical Clustering/10. Hierarchical Clustering in R - Step 2.mp4

13.88MB

27. Hierarchical Clustering/10. Hierarchical Clustering in R - Step 2.srt

8.14KB

27. Hierarchical Clustering/11. Hierarchical Clustering in R - Step 3.mp4

9.96MB

27. Hierarchical Clustering/11. Hierarchical Clustering in R - Step 3.srt

4.73KB

27. Hierarchical Clustering/12. Hierarchical Clustering in R - Step 4.mp4

10.18MB

27. Hierarchical Clustering/12. Hierarchical Clustering in R - Step 4.srt

3.83KB

27. Hierarchical Clustering/13. Hierarchical Clustering in R - Step 5.mp4

13.68MB

27. Hierarchical Clustering/13. Hierarchical Clustering in R - Step 5.srt

4.03KB

27. Hierarchical Clustering/14. Hierarchical Clustering.html

125B

27. Hierarchical Clustering/15. Conclusion of Part 4 - Clustering.html

516B

27. Hierarchical Clustering/15.1 Clustering-Pros-Cons.pdf

25.76KB

27. Hierarchical Clustering/2. Hierarchical Clustering Intuition.mp4

16.52MB

27. Hierarchical Clustering/2. Hierarchical Clustering Intuition.srt

14.59KB

27. Hierarchical Clustering/3. Hierarchical Clustering How Dendrograms Work.mp4

17.46MB

27. Hierarchical Clustering/3. Hierarchical Clustering How Dendrograms Work.srt

14.35KB

27. Hierarchical Clustering/4. Hierarchical Clustering Using Dendrograms.mp4

22.82MB

27. Hierarchical Clustering/4. Hierarchical Clustering Using Dendrograms.srt

17.6KB

27. Hierarchical Clustering/5. Make sure you have your Machine Learning A-Z folder ready.html

776B

27. Hierarchical Clustering/5.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

27. Hierarchical Clustering/6. Hierarchical Clustering in Python - Step 1.mp4

40.23MB

27. Hierarchical Clustering/6. Hierarchical Clustering in Python - Step 1.srt

10.57KB

27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4

135.93MB

27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.srt

26.22KB

27. Hierarchical Clustering/8. Hierarchical Clustering in Python - Step 3.mp4

75.29MB

27. Hierarchical Clustering/8. Hierarchical Clustering in Python - Step 3.srt

18.17KB

27. Hierarchical Clustering/9. Hierarchical Clustering in R - Step 1.mp4

8.59MB

27. Hierarchical Clustering/9. Hierarchical Clustering in R - Step 1.srt

8.6MB

28. -------------------- Part 5 Association Rule Learning --------------------/1. Welcome to Part 5 - Association Rule Learning.html

425B

29. Apriori/1. Apriori Intuition.mp4

35.03MB

29. Apriori/1. Apriori Intuition.srt

25.91KB

29. Apriori/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

29. Apriori/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.27MB

29. Apriori/3. Apriori in Python - Step 1.mp4

69.84MB

29. Apriori/3. Apriori in Python - Step 1.srt

14.29KB

29. Apriori/4. Apriori in Python - Step 2.mp4

107.7MB

29. Apriori/4. Apriori in Python - Step 2.srt

26.41KB

29. Apriori/5. Apriori in Python - Step 3.mp4

69.2MB

29. Apriori/5. Apriori in Python - Step 3.srt

19.25KB

29. Apriori/6. Apriori in Python - Step 4.mp4

164.33MB

29. Apriori/6. Apriori in Python - Step 4.srt

31.25KB

29. Apriori/7. Apriori in R - Step 1.mp4

52.84MB

29. Apriori/7. Apriori in R - Step 1.srt

31.05KB

29. Apriori/8. Apriori in R - Step 2.mp4

38.82MB

29. Apriori/8. Apriori in R - Step 2.srt

23.02KB

29. Apriori/9. Apriori in R - Step 3.mp4

56.52MB

29. Apriori/9. Apriori in R - Step 3.srt

31.16KB

3. Data Preprocessing in Python/1. Make sure you have your Machine Learning A-Z folder ready.html

664B

3. Data Preprocessing in Python/1.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

3. Data Preprocessing in Python/2. Getting Started.mp4

54.34MB

3. Data Preprocessing in Python/2. Getting Started.srt

16.73KB

3. Data Preprocessing in Python/3. Importing the Libraries.mp4

15.97MB

3. Data Preprocessing in Python/3. Importing the Libraries.srt

5.62KB

3. Data Preprocessing in Python/4. Importing the Dataset.mp4

71.79MB

3. Data Preprocessing in Python/4. Importing the Dataset.srt

24.12KB

3. Data Preprocessing in Python/5. For Python learners, summary of Object-oriented programming classes & objects.html

1.47KB

3. Data Preprocessing in Python/6. Taking care of Missing Data.mp4

69.02MB

3. Data Preprocessing in Python/6. Taking care of Missing Data.srt

18.05KB

3. Data Preprocessing in Python/7. Encoding Categorical Data.mp4

88.63MB

3. Data Preprocessing in Python/7. Encoding Categorical Data.srt

21.98KB

3. Data Preprocessing in Python/8. Splitting the dataset into the Training set and Test set.mp4

67.63MB

3. Data Preprocessing in Python/8. Splitting the dataset into the Training set and Test set.srt

20.02KB

3. Data Preprocessing in Python/9. Feature Scaling.mp4

101.72MB

3. Data Preprocessing in Python/9. Feature Scaling.srt

30.26KB

30. Eclat/1. Eclat Intuition.mp4

10.66MB

30. Eclat/1. Eclat Intuition.srt

8.1KB

30. Eclat/2. Make sure you have your Machine Learning A-Z folder ready.html

776B

30. Eclat/2.1 Machine Learning A-Z (Codes and Datasets).zip

5.28MB

30. Eclat/3. Eclat in Python.mp4

75.55MB

30. Eclat/3. Eclat in Python.srt

18.85KB

30. Eclat/4. Eclat in R.mp4

25.26MB

30. Eclat/4. Eclat in R.srt

15.79KB

30. Eclat/4.1 Eclat.zip

48.54KB

31. -------------------- Part 6 Reinforcement Learning --------------------/1. Welcome to Part 6 - Reinforcement Learning.html

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32. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.mp4

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32. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in Python - Step 7.mp4

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32. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.mp4

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32. Upper Confidence Bound (UCB)/3. Make sure you have your Machine Learning A-Z folder ready.html

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32. Upper Confidence Bound (UCB)/3.1 Machine Learning A-Z (Codes and Datasets).zip

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32. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.mp4

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33. Thompson Sampling/1. Thompson Sampling Intuition.mp4

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33. Thompson Sampling/10. Thompson Sampling in R - Step 2.mp4

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33. Thompson Sampling/2. Algorithm Comparison UCB vs Thompson Sampling.mp4

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33. Thompson Sampling/3. Make sure you have your Machine Learning A-Z folder ready.html

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33. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4

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33. Thompson Sampling/5. Thompson Sampling in Python - Step 2.mp4

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33. Thompson Sampling/6. Thompson Sampling in Python - Step 3.mp4

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33. Thompson Sampling/8. Additional Resource for this Section.html

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33. Thompson Sampling/9. Thompson Sampling in R - Step 1.mp4

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34/1. Welcome to Part 7 - Natural Language Processing.html

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34/10. Natural Language Processing in Python - Step 4.mp4

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34/11. Natural Language Processing in Python - Step 5.mp4

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34/14. Homework Challenge.html

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34/15. Natural Language Processing in R - Step 1.mp4

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34/2. NLP Intuition.mp4

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34/20. Natural Language Processing in R - Step 6.mp4

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34/25. Homework Challenge.html

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34/26. BONUS NLP BERT.html

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34/3. Types of Natural Language Processing.mp4

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34/4. Classical vs Deep Learning Models.mp4

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34/5. Bag-Of-Words Model.mp4

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34/6. Make sure you have your Machine Learning A-Z folder ready.html

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34/7. Natural Language Processing in Python - Step 1.mp4

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35. -------------------- Part 8 Deep Learning --------------------/1. Welcome to Part 8 - Deep Learning.html

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35. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.mp4

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35. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.srt

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36. Artificial Neural Networks/1. Plan of attack.mp4

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36. Artificial Neural Networks/11. ANN in Python - Step 1.mp4

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36. Artificial Neural Networks/12. Check out our free course on ANN for Regression.html

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36. Artificial Neural Networks/17. ANN in R - Step 1.mp4

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36. Artificial Neural Networks/21. Deep Learning BONUS #1.html

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36. Artificial Neural Networks/3. The Activation Function.mp4

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36. Artificial Neural Networks/4. How do Neural Networks work.mp4

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37. Convolutional Neural Networks/1. Plan of attack.mp4

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37. Convolutional Neural Networks/10. Make sure you have your dataset ready.html

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37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip

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37. Convolutional Neural Networks/11. CNN in Python - Step 1.mp4

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37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4

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37. Convolutional Neural Networks/17. Deep Learning BONUS #2.html

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37. Convolutional Neural Networks/2. What are convolutional neural networks.mp4

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37. Convolutional Neural Networks/3. Step 1 - Convolution Operation.mp4

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37. Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.mp4

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37. Convolutional Neural Networks/5. Step 2 - Pooling.mp4

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37. Convolutional Neural Networks/6. Step 3 - Flattening.mp4

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37. Convolutional Neural Networks/7. Step 4 - Full Connection.mp4

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37. Convolutional Neural Networks/8. Summary.mp4

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37. Convolutional Neural Networks/9. Softmax & Cross-Entropy.mp4

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38. -------------------- Part 9 Dimensionality Reduction --------------------/1. Welcome to Part 9 - Dimensionality Reduction.html

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39. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Intuition.mp4

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39. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Intuition.srt

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39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4

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39. Principal Component Analysis (PCA)/4. PCA in Python - Step 2.mp4

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39. Principal Component Analysis (PCA)/5. PCA in R - Step 1.mp4

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39. Principal Component Analysis (PCA)/6. PCA in R - Step 2.mp4

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39. Principal Component Analysis (PCA)/7. PCA in R - Step 3.mp4

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4. Data Preprocessing in R/1. Welcome.html

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4. Data Preprocessing in R/10. Data Preprocessing Template.mp4

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4. Data Preprocessing in R/10. Data Preprocessing Template.srt

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4. Data Preprocessing in R/2. Getting Started.mp4

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4. Data Preprocessing in R/3. Make sure you have your dataset ready.html

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4. Data Preprocessing in R/4. Dataset Description.mp4

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4. Data Preprocessing in R/5. Importing the Dataset.mp4

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4. Data Preprocessing in R/6. Taking care of Missing Data.mp4

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4. Data Preprocessing in R/7. Encoding Categorical Data.mp4

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4. Data Preprocessing in R/8. Splitting the dataset into the Training set and Test set.mp4

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4. Data Preprocessing in R/9. Feature Scaling.mp4

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40. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis (LDA) Intuition.mp4

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40. Linear Discriminant Analysis (LDA)/2. Make sure you have your Machine Learning A-Z folder ready.html

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40. Linear Discriminant Analysis (LDA)/2.1 Machine Learning A-Z (Codes and Datasets).zip

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40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4

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40. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4

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41. Kernel PCA/1. Make sure you have your Machine Learning A-Z folder ready.html

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41. Kernel PCA/1.1 Machine Learning A-Z (Codes and Datasets).zip

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41. Kernel PCA/2. Kernel PCA in Python.mp4

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41. Kernel PCA/3. Kernel PCA in R.mp4

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42/1. Welcome to Part 10 - Model Selection & Boosting.html

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43. Model Selection/1. Make sure you have your Machine Learning A-Z folder ready.html

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43. Model Selection/1.1 Machine Learning A-Z (Codes and Datasets).zip

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43. Model Selection/2. k-Fold Cross Validation in Python.mp4

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43. Model Selection/3. Grid Search in Python.mp4

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43. Model Selection/4. k-Fold Cross Validation in R.mp4

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43. Model Selection/5. Grid Search in R.mp4

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44. XGBoost/1. Make sure you have your Machine Learning A-Z folder ready.html

776B

44. XGBoost/1.1 Machine Learning A-Z (Codes and Datasets).zip

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44. XGBoost/2. XGBoost in Python.mp4

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44. XGBoost/3. Model Selection and Boosting BONUS.html

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44. XGBoost/4. XGBoost in R.mp4

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44. XGBoost/4. XGBoost in R.srt

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44. XGBoost/5. THANK YOU Bonus Video.mp4

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45. Bonus Lectures/1. YOUR SPECIAL BONUS.html

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5. -------------------- Part 2 Regression --------------------/1. Welcome to Part 2 - Regression.html

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6. Simple Linear Regression/1. Simple Linear Regression Intuition - Step 1.mp4

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6. Simple Linear Regression/13. Simple Linear Regression.html

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6. Simple Linear Regression/3. Make sure you have your Machine Learning A-Z folder ready.html

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6. Simple Linear Regression/4. Simple Linear Regression in Python - Step 1.mp4

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6. Simple Linear Regression/8. Simple Linear Regression in Python - BONUS.html

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6. Simple Linear Regression/9. Simple Linear Regression in R - Step 1.mp4

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7. Multiple Linear Regression/1. Dataset + Business Problem Description.mp4

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7. Multiple Linear Regression/15. Multiple Linear Regression in R - Step 1.mp4

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7. Multiple Linear Regression/18. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4

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7. Multiple Linear Regression/19. Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4

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7. Multiple Linear Regression/2. Multiple Linear Regression Intuition - Step 1.mp4

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7. Multiple Linear Regression/21. Multiple Linear Regression.html

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7. Multiple Linear Regression/8. Make sure you have your Machine Learning A-Z folder ready.html

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7. Multiple Linear Regression/8.1 Machine Learning A-Z (Codes and Datasets).zip

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7. Multiple Linear Regression/9. Multiple Linear Regression in Python - Step 1.mp4

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[Tutorialsplanet.NET].url

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