ujjwalkarn/Machine-Learning-Tutorials

Project overview

A static, topic-wise directory of external machine learning and deep learning tutorials, articles, and courses. It serves as a reference index for locating educational materials rather than a software library or runtime environment.

Project type

Data Processing

Use cases

Learning & Education

Deployment

Refer to project documentation

License

CC0-1.0

Best for

• General users, educators, and researchers looking for a centralized index of external reading materials and tutorials covering traditional ML and DL topics.

Key capabilities

• Organizes links to external tutorials, articles, courses, and blog posts covering various machine learning and deep learning topics, including statistics, classification, neural networks, and NLP.

Limitations and risks

• Because the project relies entirely on external links, users may encounter link rot or moved content over time as external resources change or are removed.

Getting started

• No setup or coding is required. Users visit the repository README on GitHub, select a topic from the Contents section, and follow the external links to the tutorials.

Evidence and sources

• GitHub project description: machine learning and deep learning tutorials, articles and other resources
• README: This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources.
• README: - [Machine Learning Course by Andrew Ng (Stanford University)](https://www.coursera.org/learn/machine-learning)

Reviewed at: 2026-07-17T12:56:26Z