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| Archived
files |
|
Chapter_1-Introduction\1. Introduction.mp4
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40,353,819 |
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Chapter_1-Introduction\10. Deep Learning & Examples.mp4
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156,847,939 |
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Chapter_1-Introduction\11. Jupyter & Installation.mp4
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|
167,451,940 |
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|
Chapter_1-Introduction\12. Machine Learning Tutorial & Algorithms.mp4
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|
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|
Chapter_1-Introduction\13. Demo of Iris Dataset.mp4
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|
232,343,099 |
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|
Chapter_1-Introduction\14. Linear Regression & Value of R2.mp4
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Chapter_1-Introduction\15. Statistics and Probability Concepts-.mp4
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Chapter_1-Introduction\16. Category of Data for Machine Learning.mp4
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Chapter_1-Introduction\17. Qualitative data and Quantitative data in machine learning.mp4
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Chapter_1-Introduction\18. Information gain & Entropy and Confusion Matrix.mp4
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Chapter_1-Introduction\19. Types of event and Probability of Distribution.mp4
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Chapter_1-Introduction\2. Introduction to Machine Learning with Python.mp4
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Chapter_1-Introduction\20. How to Import Datasets in Jupyter.mp4
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Chapter_1-Introduction\21. Data Analysis.mp4
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Chapter_1-Introduction\22. Train & Test Data.mp4
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Chapter_1-Introduction\23. Logistic Regression Curve.mp4
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Chapter_1-Introduction\24. Decision Tree.mp4
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Chapter_1-Introduction\25. Class project 1.mp4
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Chapter_1-Introduction\26. Class project 2.mp4
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Chapter_1-Introduction\3. AI vs ML vs Deep Learning.mp4
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Chapter_1-Introduction\4. How does Machine Learning Work.mp4
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Chapter_1-Introduction\5. Types of Machine Learning.mp4
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Chapter_1-Introduction\6. Supervised Learning & Examples.mp4
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Chapter_1-Introduction\7. Unsupervised Learning & Examples.mp4
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Chapter_1-Introduction\8. Reinforcement Learning & Examples.mp4
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Chapter_1-Introduction\9. Examples of AI.mp4
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Chapter_1-Introduction |
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| Total size: |
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|
