In this course we implement the most popular Machine Learning algorithms from scratch using only Python and NumPy.
Code:
https://github.com/python-engineer/MLfromscratch
Timeline:
00:00 - Introduction
00:56 - 1 KNN
23:00 - 2 Linear Regression
43:38 - 3 Logistic Regression
1:00:50 - 4 Regression Refactoring
1:08:25 - 5 Naive Bayes
1:29:11 - 6 Perceptron
1:47:01 - 7 SVM
2:06:33 - 8 Decision Tree Part 1
2:17:12 - 9 Decision Tree Part 2
2:48:00 - 10 Random Forest
3:01:22 - 11 PCA
3:18:43 - 12 K-Means
3:48:15 - 13 AdaBoost
4:15:53 - 14 LDA
4:38:10 - 15 Load Data From CSV
#Python #MachineLearning
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