data-science-portfolio and Projects
These are **competitors** — both are individual data science project portfolios showcasing similar work (academic projects, self-learning exercises, hobby implementations), and a viewer would typically choose one or the other as a reference example depending on their learning goals or interests.
About data-science-portfolio
sajal2692/data-science-portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
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.
About Projects
MaartenGr/Projects
Data Science Portfolio
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