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1. Introduction/2.1 ML Classification Package.zip 138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
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6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
1. Introduction/5. Course Overview.mp4 99.5 MB
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8 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
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8 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
12 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
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8 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
8 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
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