The ’ta’ Python library offers 43 technical indicators for financial feature engineering with a dual API: rapid prototyping via a single function and fine-grained control via individual indicator classes.
ML-From-Scratch offers bare-bones Python implementations of key machine learning algorithms using only NumPy, focusing on transparency over efficiency. Explore how it demystifies ML fundamentals.
Explore the Python Data Science Handbook repo offering runnable Jupyter notebooks covering NumPy, Pandas, Matplotlib, and Scikit-Learn with no local setup required.
