sajal2692/data-science-portfolio resource

Health v2 · maintenance only

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Adoption not part of the score

1305 stars · 455 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A portfolio of data science and machine learning projects presented as Jupyter notebooks, covering supervised/unsupervised learning, reinforcement learning, deep learning with PyTorch, and NLP. Originally built around 2016 for academic and self-learning purposes and refreshed in 2026 to run on a current Python stack.

Use cases

• learn data science fundamentals through worked examples
• find reference notebooks for machine learning projects
• build my own data science portfolio
• see examples of scikit-learn and pandas workflows
• learn NLP classification with notebooks
• study a CNN digit recognition example in PyTorch
• find beginner machine learning project ideas

When to choose

• you are a beginner or early-career learner wanting runnable end-to-end ML notebooks
• you want examples spanning classic ML, NLP, and a PyTorch CNN
• you need inspiration or structure for your own data science portfolio

When to avoid

• you need production-grade, maintained software or libraries
• you want modern LLM/agent engineering work rather than classic data science
• you need a curated course with instruction rather than self-contained notebooks

Facets

learning-resource · maturity maintenance

machine-learning nlp data-science deep-learning data-visualization data-science machine-learning tutorials education python cross-platform jupyter-notebooks portfolio scikit-learn pytorch pandas self-learning example-projects natural-language-processing

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markdown · JSON · MCP: product_card(name="sajal2692/data-science-portfolio")