Overview

This course covers an overview of how machine learning models work and how they are used in Python and data analysis or science.

Code

Basic data exploration – understanding data: Link

Your first machine learning model – Building a basic learning model: Link

Model validation – measure performance of the model, test and compare alternatives: Link

Underfitting and overfitting – Fine tuning for better performance: Link

Random forests – A more sophisticated machine learning algorithm: Link

Machine learning competitions – Ways to improve modelling skills: Link