GitHub - gurshh-rain/ML-Algorithms-Python-Implementation: Machine learning algorithms implemented from scratch in Python to build a deeper understanding of their mathematical foundations and inner workings. Includes clear, well-documented implementations, visualizations, and examples without relying on high-level ML libraries.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Decision Tree.py		Decision Tree.py
K-Nearest-Neighbors.py		K-Nearest-Neighbors.py
Linear_Regression.py		Linear_Regression.py
Linear_Regression_Overfitting.py		Linear_Regression_Overfitting.py
Logistic_Regression.py		Logistic_Regression.py
Naive Bayes.py		Naive Bayes.py
Random Forest.py		Random Forest.py
Support_Vector_Machine_2D.py		Support_Vector_Machine_2D.py
Support_Vector_Machine_3D.py		Support_Vector_Machine_3D.py

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Machine learning algorithms implemented from scratch in Python to build a deeper understanding of their mathematical foundations and inner workings. Includes clear, well-documented implementations, visualizations, and examples without relying on high-level ML libraries.

decision-trees deep-learning k-nearest-neighbours linear-regression logistic-regression machine-learning-algorithms overfitting random-forest-regression support-vector-machine