Skip to content

Latest commit

 

History

History
8 lines (7 loc) · 490 Bytes

File metadata and controls

8 lines (7 loc) · 490 Bytes

Bayes and EM Exploration

Grade: 100

This repository delves into the implementation of the EM algorithm and the integration of Naive Bayes with EM for likelihood calculation. Explore the code for a practical understanding and visualize the results for deeper insights.

Contents

EM Algorithm: Efficient implementation for Expectation-Maximization.
Naive Bayes: Algorithm utilizing EM for likelihood computation.
Visualizations: Tools for insightful result visualization.