In supervised learning we have a set of training data as an input and a set of labels or "correct answers" for each training set as an output. Then we're training our model (machine learning algorithm ...

This repository contains examples of popular machine learning algorithms implemented in Python with mathematics behind them being explained. Each algorithm has interactive Jupyter Notebook demo that ...

If you’re like most data professionals or aspiring ones, you’ve probably spent countless hours working with pristine, perfectly structured datasets during your training. Clean tables, no missing ...