https://github.com/klus3kk/ml-atlas

A comprehensive repository covering essential machine learning techniques, algorithms, and models for various learning paradigms.
https://github.com/klus3kk/ml-atlas

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A comprehensive repository covering essential machine learning techniques, algorithms, and models for various learning paradigms.

• Host: GitHub
• URL: https://github.com/klus3kk/ml-atlas
• Owner: Klus3kk
• Created: 2024-04-05T10:06:53.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-10-15T21:34:29.000Z (3 months ago)
• Last Synced: 2024-10-17T09:52:42.285Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 972 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Atlas

## Description

This repository is a complete guide to machine learning, featuring detailed implementations and explanations of key algorithms and techniques across different learning paradigms. From supervised and unsupervised learning to neural networks, ensemble methods, optimization algorithms, and more, this repository serves as a valuable resource for anyone looking to deepen their understanding of machine learning. Whether you're exploring anomaly detection, natural language processing, or model evaluation, you'll find a wide range of topics covered with practical examples and insights.

## Categories Covered

* Supervised Learning,

* Unsupervised Learning,

* Semi-Supervised Learning,

* Reinforcement Learning,

* Neural Networks,

* Ensemble Methods,

* Dimensionality Reduction,

* Optimization Algorithms,

* Feature Selection and Extraction,

* Anomaly Detection,

* Natural Language Processing,

* Model Evaluation and Selection,

* Errors