Course
Machine Learning Online Course
From your first Pandas dataframe to a gradient-boosted model you can defend in a review. Modules 1–3 of the AI Folks program, taken on their own.
- weeks
- 15weeks
- algorithms built
- 12algorithms built
- graded projects
- 3graded projects
What you get
How this one is different
Algorithms from scratch, once
You implement linear regression, k-means and a small neural net by hand before you are allowed to import them. It only takes one pass to stop guessing.
Real, messy datasets
No cleaned toy CSVs. You work with missing values, imbalanced classes and leakage, because that is what the job is.
Evaluation you can argue for
Precision versus recall, threshold choice, cross-validation and how to explain a trade-off to someone non-technical.
Code review culture
Submissions get line-level feedback. You resubmit. That loop is the course.
Detail
Syllabus
- 01Core Python and Pandas
- 02SQL for analysts and engineers
- 03Feature engineering and validation
- 04Regression and regularisation
- 05Classification, trees and gradient boosting
- 06Clustering and dimensionality reduction
Questions
Before you start
No. The course opens with core Python. If you already code, you can test out of the first two weeks.
JOIN NOW
Begin the first module
It is free, it is the real curriculum, and if it is not for you, you have lost nothing but an evening.
Join any time · Build AI skills at your pace