Your first time on this page? Allow me to give some explanations.
Awesome Tutorials
Curated list of resources to help you get started with Data Science
Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.
Thank you siboehm & contributors
View Topic on GitHub:
siboehm/awesome-learn-datascience
Search for resources by name or description.
Simply type in what you are looking for and the results will be filtered on the fly.
Further filter the resources on this page by type (repository/other resource), number of stars on GitHub and time of last commit in months.
What is Data Science?
Common Algorithms and Procedures
General
Learning Python
numpy
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
scikit-learn
Jupyter Notebook
Various other helpful tools and resources
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Data Science Challenges for Beginners
More advanced resources and lists
An awesome Data Science repository to learn and apply for real world problems.
common data analysis and machine learning tasks using python
machine learning and deep learning tutorials, articles and other resources