Machine Learning From Scratch In Python - Full Course With 12 Algorithms (5 HOURS)

In this course we implement the most popular Machine Learning algorithms from scratch using only Python and NumPy.

Get my Free NumPy Handbook:
https://www.python-engineer.com/numpybook

✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer *

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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

You can find me here:
Website: https://www.python-engineer.com
Twitter: https://twitter.com/patloeber
GitHub: https://github.com/patrickloeber

#Python #MachineLearning

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