Today we'll be looking at a simple Linear Regression example in Python, and as always, we'll be using the SciKit Learn library. If you haven't yet looked into my posts about data pre-processing, which is required before you can fit a model, checkout how you can encode your data to make sure it doesn't contain any text, and then how you can handle missing data in your dataset. After that you have to make sure all your features are in the same range for the model so that one feature is not dominating the whole output; and for this, you need feature scaling. Finally, split your data into training and testing sets. Once you're done with all that, you're ready to start your