ML
After Python
Machine Learning
Models that predict, and the humility to check them. You train, evaluate, and explain a small model. No theatre about replacing a whole company on week two.
About 12 weeks
On-site · New Shadbagh
Good for. Learners with Python who want machine learning as a skill they can demonstrate.
What you leave with
- You can prepare data for a model
- You can train a baseline and compare it
- You can say where the model fails
How the weeks go
01
Idea
- Supervised learning in plain words
- Features and labels
- Train, validation, and test
02
Models
- A simple baseline
- A stronger model
- Metrics that match the decision
03
Project
- A prediction problem with a dataset
- Error analysis
- A demo you can talk through
Tools
- Python
- scikit-learn
- Notebooks
- Evaluation