Intro to Machine Learning
End‑to‑end ML process with scikit‑learn, classification, regression, clustering, PCA, validation, and evaluation.
Level: Intermediate Updated: Apr 23, 2025
Overview
End‑to‑end ML process with scikit‑learn, classification, regression, clustering, PCA, validation, and evaluation.
Syllabus
- Welcome to Machine Learning
- Naive Bayes
- SVM
- Decision Trees
- Choose Your Own Algorithm
- Datasets and Questions
- Regressions
- Outliers
- Clustering
- Feature Scaling
- Feature Selection
- Text Learning
- PCA
- Validation
- Evaluation Metrics
- Tying It All Together
- Final Project
- What’s Next
Instructors
- • Katie Malone
- • Sebastian Thrun
Prerequisites
- 0 prerequisites
- Written and spoken English