Modelling Resources

Introduction

In this module we will show you how to build, refine and compare predictive models using sci-kit learn. We will focus on linear and logistic regression to build basic machine learning models as well as consider how to mitigate for bias and variance.

Learning Objectives

Build basic regression and classification models for analysis
Understand the outputs of models and explain what they mean to non technical stakeholders
Use cross validation and train test split to examine our models for bias and variance