Udemy - Machine Learning Real World projects in Python

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Udemy - Machine Learning Real World projects in Python

Torrent Contents Size: 2.8 GB

Udemy - Machine Learning Real World projects in Python
▼ show more 124 files
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102.4 B
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1. Introduction & Course Benefits.mp4
MP4
37.1 MB
1. Introduction & Course Benefits.srt
SRT
4.9 KB
1. Introduction to Business Problem & Dataset.mp4
MP4
28.6 MB
1. Introduction to Business Problem & Dataset.srt
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10. Apply Random Forest on Data & Automate your predictions.srt
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14.8 KB
10. How to Handle Outliers.mp4
MP4
52.8 MB
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193.8 KB
10. Apply Random Forest on Data & Automate your predictions.mp4
MP4
75 MB
10. How to Handle Outliers.srt
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10.6 KB
11. Applying Techniques of Feature Importance.mp4
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85.4 MB
11. Applying Techniques of Feature Importance.srt
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14.7 KB
11. Intuition Behind Linear Regression- Part 1.srt
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15.9 KB
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11. Intuition Behind Linear Regression- Part 1.mp4
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40.9 MB
12. Intuition Behind Linear Regression- Part 2.mp4
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44.4 MB
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12. Intuition Behind Linear Regression- Part 2.srt
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14 KB
12. Intuition behind Logistic Regression --part 1.mp4
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58 MB
12. Intuition behind Logistic Regression --part 1.srt
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15.2 KB
13. Intuition behind Logistic Regression --part 2.srt
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13. Intuition Behind Linear Regression- Part 3.mp4
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81.8 MB
13. Intuition Behind Linear Regression- Part 3.srt
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28.4 KB
13. Intuition behind Logistic Regression --part 2.mp4
MP4
44.1 MB
14. Idea Behind Cross Validation- Part 1.mp4
MP4
41.7 MB
14. Idea Behind Cross Validation- Part 1.srt
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13.6 KB
14. Play with multiple Algorithms & dumping your model.mp4
MP4
60.2 MB
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14. Play with multiple Algorithms & dumping your model.srt
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10.8 KB
15. How to Cross Validate your model.srt
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23.1 KB
15. Idea Behind Cross Validation- Part 2.srt
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17.6 KB
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15. How to Cross Validate your model.mp4
MP4
123.5 MB
15. Idea Behind Cross Validation- Part 2.mp4
MP4
67.3 MB
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636.6 KB
16. Applying logistic regression on data & cross-validate it.mp4
MP4
82.1 MB
16. Applying logistic regression on data & cross-validate it.srt
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13.5 KB
17. Intuition Behind Decision Tree- Part 1.mp4
MP4
40.6 MB
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17. Intuition Behind Decision Tree- Part 1.srt
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14 KB
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18. Intuition Behind Decision Tree- Part 2.mp4
MP4
63.2 MB
18. Intuition Behind Decision Tree- Part 2.srt
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21.9 KB
19. Intuition Behind Decision Tree- Part 3.mp4
MP4
60.7 MB
19. Intuition Behind Decision Tree- Part 3.srt
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20 KB
2. Datasets & Resources.html
HTML
204.8 B
2. How to follow this course-Must Watch.mp4
MP4
17.9 MB
2. How to follow this course-Must Watch.srt
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2.8 KB
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20. Intuition Behind Decision Tree- Part 4.mp4
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73.5 MB
20. Intuition Behind Decision Tree- Part 4.srt
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23.4 KB
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21. Intuition Behind Decision Tree- Part 5.mp4
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62.1 MB
21. Intuition Behind Decision Tree- Part 5.srt
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20.6 KB
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22. Intuition Behind Decision Tree- Part 6.mp4
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39.6 MB
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22. Intuition Behind Decision Tree- Part 6.srt
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13.3 KB
23. Intuition Behind Random Forest Part-1.mp4
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77.8 MB
23. Intuition Behind Random Forest Part-1.srt
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26.6 KB
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24. Intuition Behind Random Forest Part-2.mp4
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50.8 MB
24. Intuition Behind Random Forest Part-2.srt
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15.4 KB
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25. Intuition Behind KNN- Part 1.mp4
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41.1 MB
25. Intuition Behind KNN- Part 1.srt
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26. Intuition Behind KNN- Part 2.mp4
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33.8 MB
26. Intuition Behind KNN- Part 2.srt
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27. Intuition Behind KNN- Part 3.mp4
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28.4 MB
27. Intuition Behind KNN- Part 3.srt
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28. Intuition Behind KNN- Part 4.mp4
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38 MB
28. Intuition Behind KNN- Part 4.srt
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11 KB
29. Applying Multiple algorithms on data.mp4
MP4
85.1 MB
29. Applying Multiple algorithms on data.srt
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14.5 KB
3. Installation of Anaconda Navigator.mp4
MP4
28.7 MB
3. Installation of Anaconda Navigator.srt
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5.3 KB
3. Prepare your data for Analysis & Modelling.mp4
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75.3 MB
3. Prepare your data for Analysis & Modelling.srt
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14.6 KB
3. Understand your data.mp4
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70.4 MB
3. Understand your data.srt
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16.2 KB
4. Analysing Home country of guests.mp4
MP4
105.9 MB
4. Analysing Home country of guests.srt
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19.1 KB
4. How to extract Derived features from data.mp4
MP4
80.4 MB
4. How to extract Derived features from data.srt
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15.1 KB
4. Regarding Healthcare Project.html
HTML
512 B
5. Analysing Prices of Hotels across year.mp4
MP4
101.4 MB
5. Analysing Prices of Hotels across year.srt
SRT
17.2 KB
5. Perform Data Pre-processing.mp4
MP4
53.5 MB
5. Perform Data Pre-processing.srt
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11 KB
6. Analysing Demand Of hotels.mp4
MP4
62.3 MB
6. Analysing Demand Of hotels.srt
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10.3 KB
6. Handle Categorical Data & Feature Encoding.mp4
MP4
85.5 MB
6. Handle Categorical Data & Feature Encoding.srt
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16.4 KB
7. How to Perform Label Encoding on dataset.mp4
MP4
108.7 MB
7. How to Perform Label Encoding on dataset.srt
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18.9 KB
7. Select Important features using Machine learning.mp4
MP4
119.3 MB
7. Select Important features using Machine learning.srt
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17.3 KB
8. How to extract Derived features from data.mp4
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66.4 MB
8. How to extract Derived features from data.srt
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10.6 KB
8. Outliers Detection in Data.mp4
MP4
53.7 MB
8. Outliers Detection in Data.srt
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10.4 KB
9. How to handle Categorical data.mp4
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91.4 MB
9. How to handle Categorical data.srt
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14.5 KB
9. Select best Features using Feature Selection Technique.mp4
MP4
37 MB
9. Select best Features using Feature Selection Technique.srt
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7 KB
TutsNode.com.txt
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102.4 B
[TGx]Downloaded from torrentgalaxy.to .txt
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