The following blog post contains exercise solution for logistic regression assignment from the Machine Learning course by Andrew Ng. Also, this blog post is available as a jupyter notebook on GitHub.
# Standard imports. Importing seaborn for styling.
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import seaborn; seaborn.set_style('whitegrid')
I started working on the Machine Learning course by Andrew Ng. The following blog post contains exercise solution for linear regression using gradient descent algorithm. Also, this blog post is available as a jupyter notebook on GitHub.
This exercise was done using Numpy library functions. I also used scikit-learn library to demonstrate another way of linear regression plotting.
# Standard imports. Importing seaborn for styling.
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import seaborn; seaborn.set_style("whitegrid")