Stanford University Statistical Learning Save

Repo for Statistical Learning course offered by Stanford University

Project README

Statistical Learning - Stanford University

Statistical Learning is an introductory-level course in supervised learning, with a focus on regression and classification methods offered by Stanford Unviersity for free.

Content

  • Introduction
  • Overview of Statistical Learning
  • Linear Regression
  • Classification
  • Resampling Methods
  • Linear Model Selection and Regularization
  • Moving Beyond Linearity
  • Tree-Based Methods
  • Support Vector Machine
  • Unsupervised Learning

Certificate of Completion

You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.


⚠️ Disclaimer ⚠️

Please, don't fork or copy this repository.

Statistical Learning, is a very easy and straight forward course. Data Science is one of the hardest subfield of Computer Science and requires a lot of study and hard work. You can complete this course with a minimal effort.

Open Source Agenda is not affiliated with "Stanford University Statistical Learning" Project. README Source: AlessandroCorradini/Stanford-University-Statistical-Learning

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