Data Science and Machine Learning — A Practical Introduction

- Regression and classification with scikit-learn
- Evaluation: beyond accuracy
- Gear and labs for this course — what to use for the exercises
- Trees, gradient boosting and clustering
Gear and labs for this course
- Deploying models responsibly
Foundations
- Gear and labs for this course — what to use for the exercises
- The workflow and the statistics you need
- Features, splits and leakage
Final quiz
- Final quiz — Data Science and Machine Learning
Course workbook (PDF)
- Download the full course workbook
Certification
- Certification exam — earn your BP Academy certificate