A developer published a public machine learning learning repository covering the stack from NumPy to Transformers, built over 5 months with daily commits. The repo's notebooks span classical ML with scikit-learn and XGBoost, deep learning with TensorFlow/Keras including ANN, CNN, RNN and LSTM architectures, NumPy and Pandas, data visualization, NLP fundamentals, statistics and SQL.
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 git
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