Jack-Cherish/Machine-Learning
Python implementations of classic machine learning algorithms with accompanying blog tutorials.
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This repository provides Python3 implementations of foundational ML algorithms including k-Nearest Neighbors, decision trees, Naive Bayes, logistic regression, SVM, AdaBoost, and various regression methods. It functions as an educational resource with articles published on personal blogs and video channels, offering practical code examples alongside explanations.
Frequently asked
- What is Jack-Cherish/Machine-Learning?
- Python implementations of classic machine learning algorithms with accompanying blog tutorials.
- Is Machine-Learning open source?
- Yes — Jack-Cherish/Machine-Learning is an open-source project tracked on heatdrop.
- What language is Machine-Learning written in?
- Jack-Cherish/Machine-Learning is primarily written in Python.
- How popular is Machine-Learning?
- Jack-Cherish/Machine-Learning has 10.3k stars on GitHub.
- Where can I find Machine-Learning?
- Jack-Cherish/Machine-Learning is on GitHub at https://github.com/Jack-Cherish/Machine-Learning.