Machine Learning From Scratch In Python – Complete Training course With 12 Algorithms (5 Hours)

In this course we apply the most well-liked Machine Learning algorithms from scratch making use of only Python and NumPy.

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https://www.python-engineer.com/numpybook

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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 Determination Tree Aspect 1
2:17:12​ – 9 Decision Tree Aspect 2
2:48:00​ – 10 Random Forest
3:01:22​ – 11 PCA
3:18:43​ – 12 K-Signifies
3:48:15​ – 13 AdaBoost
4:15:53​ – 14 LDA
4:38:10​ – 15 Load Details From CSV

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Internet site: https://www.python-engineer.com
Twitter: https://twitter.com/python_engineer
GitHub: https://github.com/python-engineer

#Python #MachineLearning

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