Machine Learning Basics

Instructor: Jaekwang KIM

Skills you'll gain

  •   Data Analysis
  •   Applied Machine Learning
  •   Supervised Learning
  •   Scikit Learn (Machine Learning Library)
  •   Probability
  •   Statistical Methods
  •   Machine Learning
  •   Python Programming
  •   Linear Algebra
  •   Regression Analysis
  •   Machine Learning Algorithms

    • There are 4 modules in this course

    a) understand the basic concepts of machine learning. b) understand a typical memory-based method, the K nearest neighbor method. c) understand linear regression. d) understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

    The k-Nearest Neighbors

    Linear Regression

    Logistic Regression

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