AI/ML Foundations
Start Simple - The Power of Linear Models
Linear regression from scratch to Scikit-learn pipeline. Build the baseline every production team starts with.
Linear models1 power more production systems than most people realize: recommendation engines, fraud detection, pricing algorithms. The smartest ML teams start here, not because linear models are a stepping stone, but because they force you to understand your data and build something you can actually debug.
This tutorial takes the math you just learned (vectors, gradients, optimization) and turns it into a working prediction system.
Tutorial Goals
- Build linear regression from scratch with NumPy
- Understand why linear models dominate production systems
- Apply feature engineering to extend linear models
- Train and evaluate a housing price predictor with Scikit-learn
- Develop judgment for when simple beats complex
Why Start With Linear Models
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“Best educational investment in my ML/AI journey.”
— Ana Clara Medeiros·AI Developer
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