Tutorials
Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public. [D]
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 — AN
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 [link] [comments]
Related
- All fundamental knowledge in ML Course by Andrew NG that I noted and create into a repo github [R]
Source: r/MachineLearning | 2026-09-19