πŸ—“οΈ Week 02 - Introduction to Linear Regression

Theme: Supervised Learning

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This week in the lecture, you’ll be introduced to the first family of algorithms in this course: linear regression models. We will also introduce the concept of supervised learning and the main differences between regression and classification problems.

Linear regression is the most fundamental and widely used machine learning algorithm. It is the basis for many other algorithms and the first algorithm you should learn when studying machine learning.

πŸ‘©πŸ»β€πŸ« Lecture Material

Click on the below button to download the Jupyter notebook we’ll use for the lecture.

Download the dataset here:

πŸŽ₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you can’t find the recordings, please contact πŸ“§ .