resources
github.com/datakind-blr/resources ↗A bunch of collated useful resources.
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307
Curated Resources
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Start From HereBlogsToolsPodcastsDatasetsCoursesCompetitionsCheatsheetsBooks
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me languages resources from resources"
Installation instructions →What's inside
Books
- 20 Python Libraries You Aren't Using (But Should)Languages
- A Beginner's Python TutorialLanguages
- A Brief Introduction to Machine Learning for Engineers by Osvaldo SimeoneConcepts
- A Brief Introduction to Neural NetworksConcepts
- A Course in Machine LearningConcepts
- Advanced Algebra by Anthony W. KnappMathematics
Cheatsheets
- Advanced RLanguages
- Basic FunctionsLanguages
- Basic RLanguages
- bokeh (data visualization)Languages
- caret (Modeling and Machine Learning)Languages
- cartograpy (Thematic Maps with Spatial Objects)Languages
Podcasts
- Adversarial LearningData Science
- Artificial Intelligence in IndustryData Science
- Becoming a Data ScientistData Science
- Data CrunchData Science
- Data Science at HomeData Science
- Data SkepticStatistics
Start From Here
Datasets
- Amazon Wev Services (AWS) Public DatasetsData Repositories
- Archive-ItData Repositories
- AustraliaOpen Data Portals
- awesome-public-datasetsData Lists
- Berlin, GermanyOpen Data Portals
- CanadaOpen Data Portals
Showing a sample of 307 resources. View the full list on GitHub →