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Multiple Linear Regression with scikit-learn   


In this 2-hour long project-based course, you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.

By the end of this project, you will be able to:

- Build univariate and multivariate linear regression models using scikit-learn
- Perform Exploratory Data Analysis (EDA) and data visualization with seaborn
- Evaluate model fit and accuracy using numerical measures such as R² and RMSE
- Model interaction effects in regression using basic feature engineering techniques

This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, this means instant access to a cloud desktop with Jupyter Notebooks and Python 3.7 with all the necessary libraries pre-installed.

- You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Difficulty Level: BEGINNER

Estimated Learning Time:  1 hours


Computer Programming


Probability & Statistics

Python Programming


Statistical Programming


Course Instructor PhotoSnehan Kekre
Machine Learning Instructor
Machine Learning


  • Multiple Linear Regression with scikit-learn
  • Fee: $59.00

If you are thinking of taking more than one course, the subscription option may be more beneficial.
After payment, you will receive a separate email, usually within one business day, that will include instructions on how to access the course.

- Single course access (generally 30 days with option to extend if needed)
- 3-month subscription to online learning catalog - $199.00
- 12-month subscription to online learning catalog - $499.00

3-Month Subscription 1-Year Subscription