ML Interview Notes
Notes

Libraries for ML

Essential Python libraries and frameworks for Machine Learning development and deployment.

These notes are being written. Each topic below will become its own page. Contributions are welcome — every page is a Markdown file in the repository.

Planned topics

Topic Level Tags
TensorFlow intermediate deep learning, neural networks, keras
PyTorch intermediate deep learning, dynamic graphs, autograd
Scikit-learn beginner machine learning, algorithms, preprocessing
Pandas & NumPy beginner data manipulation, arrays, dataframes
Visualization beginner matplotlib, seaborn, plotting
Boosting Libraries intermediate xgboost, lightgbm, catboost