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Start developing and backtesting your own automated trading strategies
A collection of Jupyter Notebooks for learning Python for Data Science.
AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Various Jupyter notebooks about Common Crawl data
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
An image classifier to classify things as huggable or not.
Modern, interactive charts for Jupyter notebooks
Cross-platform attention tracking - Wikipedia pageviews, GDELT events, Google Trends (2025 weekly)
Meteorites vs UFOs: Detection Bias Study - 1,279 records, temporal+state+meteorite detail
Cross-platform attention tracking - Wikipedia pageviews, GDELT events, Google Trends (2025 weekly)