Here are parts 1, 2 & 3:

Introduction, Regression/Classification, Cost Functions, and Gradient Descent:

https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/

Perceptrons, Logistic Regression, and SVMs:

https://ml.berkeley.edu/blog/2016/12/24/tutorial-2/

Neural networks & Backpropagation:

https://ml.berkeley.edu/blog/2017/02/04/tutorial-3/