Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public. Covers the full stack: - Classical ML (scikit-learn, XGBoost) - Deep Learning (TensorFlow/Keras — ANN, CNN, RNN, LSTM) - Numpy & Pandas - Data Visualization - NLP fundamentals - Statistics and SQL github.com/gyr0byte/ML-Foundations Hope this is useful to someone starting their ML journey. Star it if it helps. Feedback welcome. 🙏 submitted by /u/oGauRav
Originally posted by u/oGauRav on r/ArtificialInteligence
You must log in or # to comment.