Machine Learning From Scratch In Python – Full Course With 12 Algorithms (5 HOURS)
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In this course we implement the most popular Machine Learning algorithms from scratch using only Python and NumPy.
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Code:
https://github.com/patrickloeber/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
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GitHub: https://github.com/patrickloeber
#Python #MachineLearning
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