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#ml (5)

Cheat sheets (5)

scikit-learn — Classical Machine Learning

Package-level reference for scikit-learn — install, versioning, extras, and gotchas. The de-facto classical-ML library on PyPI.
pip package scikit-learn ml modelling

transformers — Hugging Face Model Library

Package-level reference for the Hugging Face transformers library on PyPI — install extras, backend choice, versioning, and alternatives.
pip package llm ai huggingface nlp ml

scikit-learn — Classical Machine Learning

Build classical ML pipelines with scikit-learn. Covers the estimator API, train_test_split, Pipeline, ColumnTransformer, cross-validation, metrics, and model persistence.
python scikit-learn ml data-science pipelines modeling classification

Frameworks

Hugging Face Transformers, LangChain, Google Gemini SDK, and LangSmith — practical reference for AI/ML frameworks and observability tools.
ai llm python ml transformers langchain gemini

transformers — Hugging Face

Load and run pre-trained models for NLP, vision, and audio with the Hugging Face Transformers library. Covers pipelines, AutoModel, tokenisation, generation, fine-tuning, and device placement.
python huggingface transformers llm nlp ml pytorch