An animated companion to An Introduction to Statistical Learning
Statistical learning, animated.
Learn the ideas behind modern data science by watching them move. Each chapter becomes short animated scenes built from the book’s real data, with Python you write yourself, a tutor you can ask, and narration if you’d rather listen.
Learn in public · free
Your progress becomes your portfolio.
Sign in with Google and everything you do is kept: the scenes you’ve finished, the exercises you’ve solved, the code you wrote. Publish it with one click as a page under your own name, a public record of what you’ve learned and built, ready to share with anyone or link from your CV.
- Animated scenesOne idea at a time, with sliders and equations you can drag.
- Python in your browserWrite the code first, check it, then compare with the reference.
- Ask the tutorQuestions answered on the spot, and mistakes in the book flagged.
- Listen alongEvery scene narrated, with the sentence marked as it’s read.
The book · 13 chapters · 1 open now
Chapters
- 1IntroductionStart
- 2Statistical LearningComing soon
- 3Linear RegressionComing soon
- 4ClassificationComing soon
- 5Resampling MethodsComing soon
- 6Linear Model Selection and RegularizationComing soon
- 7Moving Beyond LinearityComing soon
- 8Tree-Based MethodsComing soon
- 9Support Vector MachinesComing soon
- 10Deep LearningComing soon
- 11Survival Analysis and Censored DataComing soon
- 12Unsupervised LearningComing soon
- 13Multiple TestingComing soon