This repository is a learning and practice collection of core machine learning algorithms.
It contains implementations, experiments, and examples of both regression and classification techniques.
-
Regression/
- Linear Regression
- Polynomial Regression
- Ridge & Lasso Regression
- Other regression models
-
Classification/
- Logistic Regression
- Decision Trees
- Random Forest
- KNN, SVM, Naive Bayes
- Other classification models
- Language: Python
- Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
git clone https://github.com/SURESHBEEKHANI/Machine-Learning-Algorithms.git cd Machine-Learning-Algorithms