Skill

python-data-science

Provides expert patterns for Python data science and applied machine learning based on Data Science from Scratch, Introduction to Machine Learning with Python, the Python Data Science Handbook, Python Machine Learning Cookbook, and Practical Statistics for Data Scientists. Covers NumPy vectorization and broadcasting, pandas wrangling, matplotlib/seaborn, the scikit-learn estimator API with pipelines and model selection, supervised and unsupervised algorithms, feature engineering, and the statistics (bootstrap, A/B testing, regression) behind applied data science.

Bundled with Coacus. Its trust score, security findings and other files are on the plugin page.

npx [email protected] add dandgabr/Coacus