Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public.

A developer has shared their machine learning learning repository, "ML-Foundations," on GitHub, covering a comprehensive range of topics from NumPy to Transformers. The repository, developed over five months with daily commits and public notebooks, includes Classical ML (scikit-learn, XGBoost), Deep Learning (TensorFlow/Keras for ANN, CNN, RNN, LSTM), NumPy & Pandas, Data Visualization, NLP fundamentals, Statistics, and SQL. The creator hopes it will be useful for those beginning their ML journey and welcomes feedback.

Unlike many shared repositories, this one offers a complete learning path from foundational NumPy to advanced Transformers, with daily commits over five months.