sajal2692/data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

51
/ 100
Established

Covers supervised and unsupervised learning, NLP pipelines with Flask web deployment, and reinforcement learning using scikit-learn, XGBoost, NLTK, and PyTorch. Projects span regression, classification, clustering, sentiment analysis, and CNN-based digit recognition, with implementations in both Python (Jupyter notebooks) and R (RPubs), demonstrating full-stack data science from ETL to production.

1,224 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,224

Forks

449

Language

Jupyter Notebook

License

MIT

Category

personal-portfolio-showcases

Last pushed

Sep 07, 2022

Commits (30d)

0

GitHub
Personal Portfolio Showcases · 96 frameworks

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