ML Fundamentals
12 lessons
1
What is modeling?
6 min
2
Data preparation
12 min
3
Train/test split
8 min
4
Linear regression
14 min
5
Classification basics
12 min
6
Decision trees
11 min
7
Cross validation
9 min
8
Reading metrics
10 min
9
Hyperparameter tuning
13 min
10
Overfitting
8 min
11
Ensembles
11 min
12
Your first Verihane submission
7 min
Content expanding — interactive notebooks & quests soon.