Andrew Ng's Machine Learning Course Excercise

Python implementation of programming exercises from Machine Learning course taught by Andrew Ng on coursea.

The code is implementated in Python 3, and output is illustrated by Jupyter notebook.

Exercise 1: Linear Regression

source | notebook

• Warmup Excercise
• Linear regression with one variable
  • Gradient Descent
  • Visualizing Cost Function
  • Visualize Gradient Descent Algorithm
  • Running with Different Learning Rate
• Linear regression with multiple variables
  • Feature Normalization
  • Gradient Descent
  • Visualize Training Examples
  • Select Learning Rate
  • Run with selected learning rate
• Normal Equations