Regression1
Topics
Module Overview
Motivating Example
Data Handling
Exploratory Data Analysis
Exploratory Data Analysis2
Data Modelling
Regression1
Resources
Regression - Overview
Practical
Regression1
Sometimes we need to predict a numeric value or set of such values, given existing (training) data
Motivation - fitting a line to data
Perspectives - optimisation, linear algebra, statistics
Measuring the quality of the results
Regression - Overview
This week we will study linear regression, which is one of the classic techniques
Regression as a means of minimising sum of the squared errors
Regression assumptions - what they mean, how they can be used for validation and model building
Case studies from Diamond sales
Handout
Presentation
Practical
Practical session - using an extensively annotated Python notebook to work on the diamond data set that was introduced in the Regression 1 class.
Open