Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public. [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
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. 🙏
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