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Название Machine Learning Real World projects in Python
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[TGx]Downloaded from torrentgalaxy.to .txt 585б
0 63б
1 570.91Кб
1. Introduction & Course Benefits.mp4 37.11Мб
1. Introduction & Course Benefits.srt 4.90Кб
1. Introduction to Business Problem & Dataset.mp4 28.59Мб
1. Introduction to Business Problem & Dataset.mp4 21.67Мб
1. Introduction to Business Problem & Dataset.srt 2.69Кб
1. Introduction to Business Problem & Dataset.srt 2.03Кб
10 193.79Кб
10. Apply Random Forest on Data & Automate your predictions.mp4 74.99Мб
10. Apply Random Forest on Data & Automate your predictions.srt 14.84Кб
10. How to Handle Outliers.mp4 52.76Мб
10. How to Handle Outliers.srt 10.56Кб
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11. Applying Techniques of Feature Importance.mp4 85.42Мб
11. Applying Techniques of Feature Importance.srt 14.74Кб
11. Intuition Behind Linear Regression- Part 1.mp4 40.92Мб
11. Intuition Behind Linear Regression- Part 1.srt 15.87Кб
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12. Intuition Behind Linear Regression- Part 2.mp4 44.35Мб
12. Intuition Behind Linear Regression- Part 2.srt 13.97Кб
12. Intuition behind Logistic Regression --part 1.mp4 57.97Мб
12. Intuition behind Logistic Regression --part 1.srt 15.23Кб
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13. Intuition Behind Linear Regression- Part 3.mp4 81.81Мб
13. Intuition Behind Linear Regression- Part 3.srt 28.41Кб
13. Intuition behind Logistic Regression --part 2.mp4 44.15Мб
13. Intuition behind Logistic Regression --part 2.srt 17.26Кб
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14. Idea Behind Cross Validation- Part 1.mp4 41.67Мб
14. Idea Behind Cross Validation- Part 1.srt 13.60Кб
14. Play with multiple Algorithms & dumping your model.mp4 60.22Мб
14. Play with multiple Algorithms & dumping your model.srt 10.83Кб
15 503.20Кб
15. How to Cross Validate your model.mp4 123.53Мб
15. How to Cross Validate your model.srt 23.07Кб
15. Idea Behind Cross Validation- Part 2.mp4 67.35Мб
15. Idea Behind Cross Validation- Part 2.srt 17.57Кб
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16. Applying logistic regression on data & cross-validate it.mp4 82.11Мб
16. Applying logistic regression on data & cross-validate it.srt 13.54Кб
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17. Intuition Behind Decision Tree- Part 1.mp4 40.55Мб
17. Intuition Behind Decision Tree- Part 1.srt 14.00Кб
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18. Intuition Behind Decision Tree- Part 2.mp4 63.16Мб
18. Intuition Behind Decision Tree- Part 2.srt 21.88Кб
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19. Intuition Behind Decision Tree- Part 3.mp4 60.68Мб
19. Intuition Behind Decision Tree- Part 3.srt 19.97Кб
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2. Datasets & Resources.html 193б
2. Datasets & Resources.html 193б
2. How to follow this course-Must Watch.mp4 17.95Мб
2. How to follow this course-Must Watch.srt 2.82Кб
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20. Intuition Behind Decision Tree- Part 4.mp4 73.51Мб
20. Intuition Behind Decision Tree- Part 4.srt 23.41Кб
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21. Intuition Behind Decision Tree- Part 5.mp4 62.13Мб
21. Intuition Behind Decision Tree- Part 5.srt 20.64Кб
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22. Intuition Behind Decision Tree- Part 6.mp4 39.60Мб
22. Intuition Behind Decision Tree- Part 6.srt 13.26Кб
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23. Intuition Behind Random Forest Part-1.mp4 77.76Мб
23. Intuition Behind Random Forest Part-1.srt 26.62Кб
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24. Intuition Behind Random Forest Part-2.mp4 50.80Мб
24. Intuition Behind Random Forest Part-2.srt 15.36Кб
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25. Intuition Behind KNN- Part 1.mp4 41.14Мб
25. Intuition Behind KNN- Part 1.srt 17.47Кб
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26. Intuition Behind KNN- Part 2.mp4 33.83Мб
26. Intuition Behind KNN- Part 2.srt 10.86Кб
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27. Intuition Behind KNN- Part 3.mp4 28.39Мб
27. Intuition Behind KNN- Part 3.srt 9.88Кб
28 209.58Кб
28. Intuition Behind KNN- Part 4.mp4 37.96Мб
28. Intuition Behind KNN- Part 4.srt 10.97Кб
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29. Applying Multiple algorithms on data.mp4 85.09Мб
29. Applying Multiple algorithms on data.srt 14.51Кб
3 140.21Кб
3. Installation of Anaconda Navigator.mp4 28.74Мб
3. Installation of Anaconda Navigator.srt 5.33Кб
3. Prepare your data for Analysis & Modelling.mp4 75.26Мб
3. Prepare your data for Analysis & Modelling.srt 14.58Кб
3. Understand your data.mp4 70.38Мб
3. Understand your data.srt 16.20Кб
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4. Analysing Home country of guests.mp4 105.86Мб
4. Analysing Home country of guests.srt 19.07Кб
4. How to extract Derived features from data.mp4 80.45Мб
4. How to extract Derived features from data.srt 15.15Кб
4. Regarding Healthcare Project.html 476б
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5. Analysing Prices of Hotels across year.mp4 101.41Мб
5. Analysing Prices of Hotels across year.srt 17.24Кб
5. Perform Data Pre-processing.mp4 53.54Мб
5. Perform Data Pre-processing.srt 10.98Кб
6 534.95Кб
6. Analysing Demand Of hotels.mp4 62.26Мб
6. Analysing Demand Of hotels.srt 10.31Кб
6. Handle Categorical Data & Feature Encoding.mp4 85.48Мб
6. Handle Categorical Data & Feature Encoding.srt 16.36Кб
7 591.37Кб
7. How to Perform Label Encoding on dataset.mp4 108.66Мб
7. How to Perform Label Encoding on dataset.srt 18.92Кб
7. Select Important features using Machine learning.mp4 119.28Мб
7. Select Important features using Machine learning.srt 17.28Кб
8 928.72Кб
8. How to extract Derived features from data.mp4 66.35Мб
8. How to extract Derived features from data.srt 10.64Кб
8. Outliers Detection in Data.mp4 53.65Мб
8. Outliers Detection in Data.srt 10.45Кб
9 910.80Кб
9. How to handle Categorical data.mp4 91.45Мб
9. How to handle Categorical data.srt 14.47Кб
9. Select best Features using Feature Selection Technique.mp4 36.97Мб
9. Select best Features using Feature Selection Technique.srt 6.99Кб
TutsNode.com.txt 63б
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