# Regression

A collection of simple notebooks and guides to cover concepts in isolation, without the context of a journalistic project. Useful for review or to prep for topics used in the actual projects.

linear regression

### Readings and links

### Summary

None### Notebooks, Assignments, and Walkthroughs

#### Types of regression

What is regression for, and what are the different types?

#### Basics of logistic regression

A walkthrough explaining basic concepts of logistic regression.

#### A quickstart for logistic regression in Python

A no-nonsense introduction to statsmodels for logistic regression in Python

#### Evaluating a logistic regression and its features

While you can perform a logistic regression on anything and get some results, that doesn't mean the results are any good! Let's take a look at how to judge both a logistic regression and each of the variables you're selected for it.

#### Multivariable regression and categories

Level up your logistic regression skills with multiple inputs and categorical variables.

#### Basics of linear regression

A walkthrough explaining basic concepts of linear regression.

#### Evaluating a linear regression and its features

While you can perform a linear regression on anything and get some results, that doesn't mean the results are any good! Let's take a look at how to judge both a linear regression and each of the variables you're selected for it.

#### A quickstart for linear regression in Python

A no-nonsense introduction to statsmodels for regression in Python

#### Putting regression to use

Once you now what regression is and how statsmodels operates, we can put our knowledge to work.