Stop 06 · Machine Learning FundamentalsProjects · 1/1
Build & Compare 3 ML Models on the Same Dataset
Part of the Data Science Roadmap
In short
The core practice project for this phase — train a linear/logistic baseline, a tree-based model, and an ensemble model on the same problem, and compare their performance honestly.
How to learn this
- 1Pick a clean, well-known dataset so you can focus on modeling, not cleaning.
- 2Use the same train/test split and evaluation metric across all 3 models for a fair comparison.
- 3Write a short summary of which model won, and your hypothesis for why.
Stuck on this topic? Ask an Insider
Get 1:1 guidance from people who've walked this exact path — on the InsideEdge app.
