Python for Data Science
Learn Python programming for data science and analytics applications. Covers environment setup, pandas, NumPy, scikit-learn, and domain-specific libraries for sports analytics, AI engineering, and market analysis.
7 chapters across 7 books
Python for AI Engineering
AI Engineering
Data Literacy & Python
Sports Betting
Python Fundamentals
NFL Analytics
Python for Sports Analytics
College Football Analytics
Python Environment
Basketball Analytics
Python Tools for Soccer
Soccer Analytics
Python Toolkit
Prediction Markets
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Machine Learning 15 chapters Neural Networks & Deep Learning 9 chapters Probability & Statistics 10 chapters Sports Betting Analytics 16 chapters Natural Language Processing (NLP) 10 chapters Data Visualization 9 chapters Sports Analytics 14 chapters Predictive Modeling & Forecasting 17 chapters Computer Vision 8 chapters