awesome-mlss
Data-science-best-resources
| awesome-mlss | Data-science-best-resources | |
|---|---|---|
| 2 | 2 | |
| 2,549 | 2,768 | |
| - | - | |
| 8.1 | 0.0 | |
| 17 days ago | 4 months ago | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-mlss
Data-science-best-resources
What are some alternatives?
awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning
100-Days-Of-ML-Code - 100 Days of ML Coding
cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW
free-data-science-books - Free resources for learning data science
IntRo - Introduction to R for health data
looper - A resource list for causality in statistics, data science and physics
data-science-blogs - A curated list of data science blogs
Data-Science-Wiki - A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets
DataScienceResources - Open Source Data Science Resources.
Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.