10 Weeks, 20 Lessons, Data Science for All!
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
This repository helps you learn Python and Machine Learning from scratch.
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
interactive notebooks from Planet Engineering
fklearn: Functional Machine Learning
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises