Skip to content

kperi/ml_lectures

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine Learning - An introduction

Structure of the class


Part I: Machine Learning

  • Basics & Theory

    • Supervised, Unsupervised Learning
    • Classification, Regression, Clustering
  • Python Basics for Data Science / ML

    • numpy, scipy
    • scikit learn
    • pytorch
  • Hands-on examples

    • Classification
      • Churn prediction
      • Digit classification
    • Regression example
      • Estimating House Prices
    • Clustering
      • kmeans document clustering
  • What is Machine Learning anyway?

  • Some examples

About

machine learning lectures

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published