Machine Learning
Explore machine learning across domains — from foundational algorithms and model evaluation to sport-specific prediction systems and market forecasting. Covers supervised learning, unsupervised methods, feature engineering, and production ML pipelines.
15 chapters across 7 books
Supervised Learning
AI Engineering
Unsupervised Learning
AI Engineering
Model Evaluation
AI Engineering
Feature Engineering
AI Engineering
Feature Engineering for Betting
Sports Betting
Advanced Regression & Classification
Sports Betting
Model Evaluation for Betting
Sports Betting
ML Betting Pipeline
Sports Betting
Machine Learning for Football
College Football Analytics
Intro to Predictive Analytics
College Football Analytics
ML Prediction Models
NFL Analytics
Machine Learning in Basketball
Basketball Analytics
Machine Learning for Soccer
Soccer Analytics
ML for Market Prediction
Prediction Markets
Ensemble Methods
Prediction Markets
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Python for Data Science 7 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