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Udemy - Projects And Case Studies On Machine Learning With Python
TORRENT SUMMARY
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Programming In Python For Data Analytics And Machine Learning. Learn Statistical Analysis, Data Mining And Visualization
What you'll learn:
You will learn how to use data science and machine learning with Python.
You will be able to analyze your own data sets and gain insights through data science.
Master critical data science skills.
Replicate real-world situations and data reports.
Requirements:
No prior knowledge of machine learning required
Basic knowledge of Python
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction to Machine Learning Case Studies.mp4
11.3 MB
~Get Your Files Here !/10. Introduction to k-Means Clustering.mp4
13 MB
~Get Your Files Here !/11. Creating Scattered Plots.mp4
33.8 MB
~Get Your Files Here !/12. Euclidean Distance Calculator.mp4
56.9 MB
~Get Your Files Here !/13. Printing Centroid Values.mp4
22.6 MB
~Get Your Files Here !/14. Analysing Face Detection.mp4
9.9 MB
~Get Your Files Here !/15. Problem Statement.mp4
22.4 MB
~Get Your Files Here !/16. Creating Model of time Series.mp4
56.8 MB
~Get Your Files Here !/17. Training and Testing Data.mp4
81.9 MB
~Get Your Files Here !/18. Analysing Output.mp4
66.3 MB
~Get Your Files Here !/19. Time Series Bitcoin Data.mp4
69 MB
~Get Your Files Here !/2. Environmental SetUp.mp4
40.7 MB
~Get Your Files Here !/20. Classification.mp4
22.1 MB
~Get Your Files Here !/21. Fruit type Distribution.mp4
51.9 MB
~Get Your Files Here !/22. Create Training and Test Sets.mp4
16.4 MB
~Get Your Files Here !/23. Building Logistic Regression.mp4
35.6 MB
~Get Your Files Here !/24. Building Decision Tree.mp4
38.9 MB
~Get Your Files Here !/25. K-Nearest Neighbors.mp4
35.8 MB
~Get Your Files Here !/26. Linear Discriminant Analysis.mp4
35.6 MB
~Get Your Files Here !/27. Gaussian Naive Bayes.mp4
27 MB
~Get Your Files Here !/28. Plot the Decision Boundary.mp4
38.8 MB
~Get Your Files Here !/29. Plot the Decision Boundary Continue.mp4
37.3 MB
~Get Your Files Here !/3. Problem Statement for Linear Regression.mp4
29.4 MB
~Get Your Files Here !/30. Defining the Problem Statement.mp4
27.1 MB
~Get Your Files Here !/31. Data Preparation.mp4
33.3 MB
~Get Your Files Here !/32. Clean up.mp4
40.3 MB
~Get Your Files Here !/33. Payment Delays.mp4
35.3 MB
~Get Your Files Here !/34. Standing Credit.mp4
22.2 MB
~Get Your Files Here !/35. Payments in the Previous Months.mp4
34.9 MB
~Get Your Files Here !/36. Explore Defaulting.mp4
41.6 MB
~Get Your Files Here !/37. Absolute Statistics.mp4
47.5 MB
~Get Your Files Here !/38. Starting with Feature Engineering.mp4
28.4 MB
~Get Your Files Here !/39. From Variables to Train.mp4
25.1 MB
~Get Your Files Here !/4. Starting with Normal linear Regression.mp4
50.9 MB
~Get Your Files Here !/40. Visualization-Confusion Matrices and AUC Curves.mp4
48.1 MB
~Get Your Files Here !/41. Creating SNS Plot.mp4
9.9 MB
~Get Your Files Here !/5. Polynomial Regression.mp4
53.3 MB
~Get Your Files Here !/6. Backward Elimination.mp4
38.9 MB
~Get Your Files Here !/7. Robust Regression.mp4
41.8 MB
~Get Your Files Here !/8. Logistic Regression.mp4
41.5 MB
~Get Your Files Here !/9. Logistic Regression Continue.mp4
