code-for-a-living May 29, 2021

Level Up: Linear Regression in Python – Part 2

In the second lesson of the series, we’ll learn how to fit and interpret a simple linear regression with a categorical predictor. We’ll use a simulated dataset to predict the amount of time someone will spend on a website based on the browser they are using. We’ll also predict the rental prices of NYC apartments…

In the second lesson of the series, we’ll learn how to fit and interpret a simple linear regression with a categorical predictor. We’ll use a simulated dataset to predict the amount of time someone will spend on a website based on the browser they are using. We’ll also predict the rental prices of NYC apartments based on the borough where they are located. In the process, we’ll go over some important graphing skills and continue to practice writing code in Python.

Here are some Stack Overflow questions related to the work we did in today’s session:

If you want to ask any questions or provide feedback on the lesson, you are welcome to leave a comment on the YouTube recording of this lesson. If you’d like to watch a session live, follow the Codecademy YouTube channel. We’ll be live again on Tuesday at 11am EDT to introduce multiple linear regression. You can join that session here.

Finally, if you want even more linear regression content, you can sign up for the Linear Regression in Python interactive course this series was based on. This course was developed by Sophie and has many more quizzes, projects, and helpful nuggets that we can’t fit into our streams!

Tags: , ,
Podcast logo The Stack Overflow Podcast is a weekly conversation about working in software development, learning to code, and the art and culture of computer programming.

Related

code-for-a-living June 6, 2021

Level Up: Linear Regression in Python – Part 3

In the third lesson of the series, we’ll implement our first linear regression model with multiple predictors (this is called “multiple linear regression”). As an example, we’ll use a simulated dataset to predict student quiz scores. In the process, we’ll again practice our graphing and Python skills. Here are some Stack Overflow questions related to…
code-for-a-living May 22, 2021

Level Up: Linear Regression in Python – Part 1

Linear regression is a machine learning technique for modeling continuous outcomes. It is used for both prediction and data analysis in a variety of different fields. It is also the basis for a number of other machine learning models, including logistic regression and poisson regression. For anyone who is interested in learning more about data…
code-for-a-living June 12, 2021

Level Up: Linear Regression in Python – Part 4

In the fourth lesson of the series, we’ll talk about the matrix representation of the linear regression problem. In the process, we’ll discuss the basics of matrix multiplication. We’ll also see how this mathematical understanding can prepare us to make sense of error messages that we might encounter when fitting a model in Python. Here…