Projects and Case Studies on Machine Learning with Python --> [ DevCourseWeb ]


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Torrent File Content (43 files)


[ DevCourseWeb.com ] Udemy - Projects and Case Studies on Machine Learning with Python
     Get Bonus Downloads Here.url -
182 bytes

    ~Get Your Files Here !
          1. Introduction to Machine Learning Case Studies.mp4 -
11.34 MB

          10. Introduction to k-Means Clustering.mp4 -
12.98 MB

          11. Creating Scattered Plots.mp4 -
33.84 MB

          12. Euclidean Distance Calculator.mp4 -
56.92 MB

          13. Printing Centroid Values.mp4 -
22.61 MB

          14. Analysing Face Detection.mp4 -
9.92 MB

          15. Problem Statement.mp4 -
22.36 MB

          16. Creating Model of time Series.mp4 -
56.75 MB

          17. Training and Testing Data.mp4 -
81.9 MB

          18. Analysing Output.mp4 -
66.34 MB

          19. Time Series Bitcoin Data.mp4 -
69.01 MB

          2. Environmental SetUp.mp4 -
40.67 MB

          20. Classification.mp4 -
22.1 MB

          21. Fruit type Distribution.mp4 -
51.95 MB

          22. Create Training and Test Sets.mp4 -
16.39 MB

          23. Building Logistic Regression.mp4 -
35.61 MB

          24. Building Decision Tree.mp4 -
38.87 MB

          25. K-Nearest Neighbors.mp4 -
35.8 MB

          26. Linear Discriminant Analysis.mp4 -
35.55 MB

          27. Gaussian Naive Bayes.mp4 -
26.97 MB

          28. Plot the Decision Boundary.mp4 -
38.75 MB

          29. Plot the Decision Boundary Continue.mp4 -
37.33 MB

          3. Problem Statement for Linear Regression.mp4 -
29.35 MB

          30. Defining the Problem Statement.mp4 -
27.09 MB

          31. Data Preparation.mp4 -
33.32 MB

          32. Clean up.mp4 -
40.31 MB

          33. Payment Delays.mp4 -
35.34 MB

          34. Standing Credit.mp4 -
22.2 MB

          35. Payments in the Previous Months.mp4 -
34.94 MB

          36. Explore Defaulting.mp4 -
41.56 MB

          37. Absolute Statistics.mp4 -
47.46 MB

          38. Starting with Feature Engineering.mp4 -
28.38 MB

          39. From Variables to Train.mp4 -
25.14 MB

          4. Starting with Normal linear Regression.mp4 -
50.93 MB

          40. Visualization-Confusion Matrices and AUC Curves.mp4 -
48.05 MB

          41. Creating SNS Plot.mp4 -
9.89 MB

          5. Polynomial Regression.mp4 -
53.33 MB

          6. Backward Elimination.mp4 -
38.91 MB

          7. Robust Regression.mp4 -
41.84 MB

          8. Logistic Regression.mp4 -
41.45 MB

          9. Logistic Regression Continue.mp4 -
22.3 MB

          Bonus Resources.txt -
386 bytes



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