MDSection 3 of 38 · 8 subtopics
Machine Learning
Core ML concepts: datasets, training loops, loss, overfitting. Before jumping to neural networks.
Learning path
Work through each subtopic in order. Click any file below to open its lesson. Track your progress with the checkbox at the bottom.
Subtopics
Each subtopic includes a concise explanation, code examples, and references.
01
Machine Learning
Input → Model → Prediction pipeline.
machine-learning
02
Dataset
Dataset table + scatter plot.
dataset
03
Training
Training dashboard.
training
04
Validation
Train/validation split visualizer.
validation
05
Inference
Model playground.
inference
06
Loss
Prediction vs target visualization.
loss
07
Overfitting
Model complexity slider.
overfitting
08
Generalization
Training/test distribution visualizer.
generalization