01
Foundations
In preparationFootball Prediction Modelling Foundations
Regression, classification, feature engineering, temporal validation, ensembles, model selection and responsible interpretation.
Courses
DRJS learning
Learn the whole system, not a disconnected trick
Courses for people who can write some Python and want to understand how models become dependable products. Every course is built around complete lessons, worked examples and hands-on repositories.
Complete learning resources
Explanation, exercise, implementation
The material connects statistical judgement, software structure and production operation.
courses/
01-foundations/
lessons/
exercises/
starter-files/
02-fastapi-deployment/
03-production-ml/
completed-reference/Current catalogue
A connected path from model to production
Take one course for a focused need or follow all three as a complete progression.
02
Intermediate
In preparationDeploy Football Prediction Models with FastAPI
Data collection, model refresh, Bayesian adaptation, prediction APIs, monitoring, SaaS integration and Railway deployment.
03
Advanced
In preparationFrom Data to Deployment
A complete portfolio path through PostgreSQL, XGBoost, calibration, ensembles, FastAPI, cloud operations, monitoring and frontend delivery.
Learning by doing
Every module ends in something concrete
Guided lesson notes and modern supporting slides Exercises with starter files and defined outcomes Completed reference implementation Model cards, deployment checks and practical documentation
Who it is for
Technical learners who want the missing middle
Python builders
You can write scripts or notebooks and want stronger modelling and software practices.
Data practitioners
You understand models and want to serve, monitor and operate them as a product.
Career developers
You want a substantial portfolio project with decisions you can explain in an interview.
Course updates