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A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.

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Machine Learning Algorithms πŸ“˜

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.


πŸ“‚ Repository Structure

  • 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

πŸš€ Tech Stack

  • Language: Python
  • Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn

git clone https://github.com/SURESHBEEKHANI/Machine-Learning-Algorithms.git cd Machine-Learning-Algorithms

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A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.

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