Machine Learning Real World projects in Python | B9C34752A251F3CA693914B9380BA7FD24E92724

Machine Learning Real World projects in Python

Name	Machine Learning Real World projects in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.0 GB
Total Files	139
Last Seen	2025-05-08 23:42
Hash	B9C34752A251F3CA693914B9380BA7FD24E92724

/.../3. Project 3-- Predict Prices of Airline Tickets/
15. How to Cross Validate your model.mp4	129.5 MB
13. Intuition Behind Linear Regression- Part 3.srt	29.1 KB
15. How to Cross Validate your model.srt	23.6 KB
7. How to Perform Label Encoding on dataset.srt	19.4 KB
6. Handle Categorical Data & Feature Encoding.srt	16.7 KB
3. Understand your data.srt	16.6 KB
11. Intuition Behind Linear Regression- Part 1.srt	16.3 KB
4. How to extract Derived features from data.srt	15.5 KB
10. Apply Random Forest on Data & Automate your predictions.srt	15.2 KB
1. Introduction to Business Problem & Dataset.srt	2.1 KB
2. Datasets & Resources.html	0.2 KB
12. Intuition Behind Linear Regression- Part 2.srt	14.3 KB
5. Perform Data Pre-processing.srt	11.2 KB
14. Play with multiple Algorithms & dumping your model.srt	11.1 KB
8. Outliers Detection in Data.srt	10.7 KB
9. Select best Features using Feature Selection Technique.srt	7.2 KB
7. How to Perform Label Encoding on dataset.mp4	113.9 MB
6. Handle Categorical Data & Feature Encoding.mp4	89.6 MB
13. Intuition Behind Linear Regression- Part 3.mp4	85.8 MB
4. How to extract Derived features from data.mp4	84.4 MB
10. Apply Random Forest on Data & Automate your predictions.mp4	78.6 MB
3. Understand your data.mp4	73.8 MB
14. Play with multiple Algorithms & dumping your model.mp4	63.1 MB
8. Outliers Detection in Data.mp4	56.3 MB
5. Perform Data Pre-processing.mp4	56.1 MB
12. Intuition Behind Linear Regression- Part 2.mp4	46.5 MB
11. Intuition Behind Linear Regression- Part 1.mp4	42.9 MB
9. Select best Features using Feature Selection Technique.mp4	38.8 MB
1. Introduction to Business Problem & Dataset.mp4	22.7 MB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../2. Project 1-- Predict status of Hotel Booking/
23. Intuition Behind Random Forest Part-1.srt	27.3 KB
20. Intuition Behind Decision Tree- Part 4.srt	24.0 KB
18. Intuition Behind Decision Tree- Part 2.srt	22.4 KB
21. Intuition Behind Decision Tree- Part 5.srt	21.1 KB
1. Introduction to Business Problem & Dataset.srt	2.8 KB
2. Datasets & Resources.html	0.2 KB
19. Intuition Behind Decision Tree- Part 3.srt	20.5 KB
4. Analysing Home country of guests.srt	19.5 KB
15. Idea Behind Cross Validation- Part 2.srt	18.0 KB
25. Intuition Behind KNN- Part 1.srt	17.9 KB
7. Select Important features using Machine learning.srt	17.7 KB
13. Intuition behind Logistic Regression --part 2.srt	17.7 KB
5. Analysing Prices of Hotels across year.srt	17.7 KB
24. Intuition Behind Random Forest Part-2.srt	15.7 KB
12. Intuition behind Logistic Regression --part 1.srt	15.6 KB
11. Applying Techniques of Feature Importance.srt	15.1 KB
3. Prepare your data for Analysis & Modelling.srt	14.9 KB
29. Applying Multiple algorithms on data.srt	14.9 KB
9. How to handle Categorical data.srt	14.8 KB
17. Intuition Behind Decision Tree- Part 1.srt	14.3 KB
7. Select Important features using Machine learning.mp4	125.1 MB
14. Idea Behind Cross Validation- Part 1.srt	13.9 KB
16. Applying logistic regression on data & cross-validate it.srt	13.9 KB
22. Intuition Behind Decision Tree- Part 6.srt	13.6 KB
28. Intuition Behind KNN- Part 4.srt	11.2 KB
26. Intuition Behind KNN- Part 2.srt	11.1 KB
8. How to extract Derived features from data.srt	10.9 KB
10. How to Handle Outliers.srt	10.8 KB
6. Analysing Demand Of hotels.srt	10.6 KB
27. Intuition Behind KNN- Part 3.srt	10.1 KB
4. Analysing Home country of guests.mp4	111.0 MB
5. Analysing Prices of Hotels across year.mp4	106.3 MB
9. How to handle Categorical data.mp4	95.9 MB
11. Applying Techniques of Feature Importance.mp4	89.6 MB
29. Applying Multiple algorithms on data.mp4	89.2 MB
16. Applying logistic regression on data & cross-validate it.mp4	86.1 MB
23. Intuition Behind Random Forest Part-1.mp4	81.5 MB
3. Prepare your data for Analysis & Modelling.mp4	78.9 MB
20. Intuition Behind Decision Tree- Part 4.mp4	77.1 MB
15. Idea Behind Cross Validation- Part 2.mp4	70.6 MB
8. How to extract Derived features from data.mp4	69.6 MB
18. Intuition Behind Decision Tree- Part 2.mp4	66.2 MB
6. Analysing Demand Of hotels.mp4	65.3 MB
21. Intuition Behind Decision Tree- Part 5.mp4	65.1 MB
19. Intuition Behind Decision Tree- Part 3.mp4	63.6 MB
12. Intuition behind Logistic Regression --part 1.mp4	60.8 MB
10. How to Handle Outliers.mp4	55.3 MB
24. Intuition Behind Random Forest Part-2.mp4	53.3 MB
13. Intuition behind Logistic Regression --part 2.mp4	46.3 MB
14. Idea Behind Cross Validation- Part 1.mp4	43.7 MB
25. Intuition Behind KNN- Part 1.mp4	43.1 MB
17. Intuition Behind Decision Tree- Part 1.mp4	42.5 MB
22. Intuition Behind Decision Tree- Part 6.mp4	41.5 MB
28. Intuition Behind KNN- Part 4.mp4	39.8 MB
26. Intuition Behind KNN- Part 2.mp4	35.5 MB
1. Introduction to Business Problem & Dataset.mp4	30.0 MB
27. Intuition Behind KNN- Part 3.mp4	29.8 MB
/.../1. Intro to this course/
2. How to follow this course-Must Watch.srt	2.9 KB
4. Regarding Healthcare Project.html	0.5 KB
3. Installation of Anaconda Navigator.srt	5.5 KB
1. Introduction & Course Benefits.srt	5.0 KB
1. Introduction & Course Benefits.mp4	38.9 MB
3. Installation of Anaconda Navigator.mp4	30.1 MB
2. How to follow this course-Must Watch.mp4	18.8 MB
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Total files 139