Predictive Modeling & Forecasting
Learn to build predictive models for real-world outcomes — from game outcome prediction and player forecasting to market price modeling and Monte Carlo simulation. Covers regression, Elo ratings, and ensemble methods.
17 chapters across 6 books
Regression Analysis
Sports Betting
Simulation & Monte Carlo Methods
Sports Betting
Ratings & Rankings Systems
Sports Betting
Time Series Analysis
Sports Betting
Intro to Prediction Models
NFL Analytics
Elo Power Ratings
NFL Analytics
Game Simulation
NFL Analytics
Intro to Predictive Analytics
College Football Analytics
Game Outcome Prediction
College Football Analytics
Player Forecasting
College Football Analytics
Win Probability Models
College Football Analytics
Player Prediction
Basketball Analytics
Game Prediction
Basketball Analytics
Predictive Match Modeling
Soccer Analytics
Statistical Modeling
Prediction Markets
Portfolio & Risk Management
Prediction Markets
Backtesting
Prediction Markets
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Machine Learning 18 chapters Python for Data Science 8 chapters Neural Networks & Deep Learning 9 chapters Probability & Statistics 15 chapters Sports Betting Analytics 16 chapters Natural Language Processing (NLP) 12 chapters Data Visualization 9 chapters Sports Analytics 14 chapters Computer Vision 8 chapters AI-Assisted Software Development 12 chapters AI Agents & Autonomous Systems 6 chapters Software Engineering Best Practices 11 chapters AI Ethics & Governance 18 chapters Cybersecurity & Ethical Hacking 17 chapters Applied Psychology 16 chapters Python for Business 15 chapters Working with AI Tools 12 chapters Creator Economy & Digital Entrepreneurship 11 chapters Data Governance & Privacy 12 chapters Conflict Resolution & Communication 9 chapters Fan Studies & Internet Culture 11 chapters Luck, Probability & Decision-Making 10 chapters Home Systems & Maintenance 9 chapters Regulatory Technology & Compliance 10 chapters AI & Machine Learning for Business 10 chapters COBOL Programming 10 chapters Political Analytics & Data 10 chapters Propaganda & Disinformation 9 chapters Psychology of Attraction & Relationships 9 chapters AI Literacy & Education 13 chapters Computer Science Fundamentals 10 chapters Surveillance, Privacy & Digital Rights 12 chapters Algorithms & Their Impact on Society 8 chapters Learning Science & Metacognition 20 chapters Systems Thinking & Mental Models 20 chapters Mainframe & COBOL Programming 14 chapters Database Systems 13 chapters Statistics & Probability 14 chapters Data Science Fundamentals 14 chapters Cognitive Science & Critical Thinking 13 chapters Learning Science & Study Skills 14 chapters Quantum Physics & Wave Mechanics 12 chapters Appalachian Studies 12 chapters Epistemic Failure & How Knowledge Goes Wrong 13 chapters