Data Science and Machine Learning Resources: 17 Curated Categories

Aggregating educational links across 17 categories including statistics and deep learning, this repository was curated by nishitpatel01 and last updated in November 2025. It functions as an 'awesome-list' style resource for discovering Python-based visualization tools and research papers.

Use Cases

• Identifying research papers for deep learning literature reviews using the 'papers' and 'deep-learning' tags
• Finding Python-based visualization libraries and tutorials via the 'python' and 'visualization' categories
• Accessing educational materials for statistics and probability study through the 'ebooks' and 'statistics' labels

Strengths

• MIT licensed for open redistribution
• Categorized by 17 domain tags including statistics and deep learning
• Includes specific resource types like ebooks and research papers

Limitations

• Contains no raw tabular data for model training
• Subjective curation based on a single author's preferences
• No structured metadata or descriptions for the individual links

Provenance

Source

nishitpatel01 via GitHub

Collection Method

manual curation

Freshness

Last updated November 2025.

Geography

global