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Welcome to Chapter 9 lesson 1 of the full course on ‘Statistics for Data Science’, using Python! In this lesson we briefly explore basic concepts of Machine Learning. In particular we look at how we can use data to build a model that predicts new data. For continuous variables this is done by Linear Regression.

📚 Course Materials:

[Download the Book/Notes and slides] https://drive.google.com/drive/folder...

[Access the Jupyter Notebooks]
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🛠 Topics Covered:

What is Linear Regression?
How to perform Linear regression using Python?
How to visualise Linear Regression?
How to quantify Linear Regression?

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