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Exploring classical machine learning algorithms through implementations from scratch using NumPy and with scikit-learn

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ML-Algorithms-Implementation

Description

This repository contains implementations of classical machine learning algorithms. The implementations are categorized as follows:

  • From Scratch: Algorithms implemented using NumPy, based on lab sessions for the IE 7300 Statistical Learning for Engineering course.
  • Using Scikit-Learn: Algorithms implemented using the scikit-learn library, for practice and exploration of various machine learning techniques and applications.

Repository Structure

  • data: Contains datasets used for the implementations.
  • notebooks
    • from-scratch: Jupyter notebooks with algorithms implemented from scratch using NumPy.
    • scikit-learn: Jupyter notebooks with algorithms implemented using the scikit-learn library.

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Exploring classical machine learning algorithms through implementations from scratch using NumPy and with scikit-learn

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