As you learn ML, it's important to work on a project. this is first project i made while doing machine learning course on Coursera. Everything is breaked into logical steps that allows to ensure the cleanest, most realistic data for the model to make accurate predictions from.
1--Load Data and Packages. 2--Data normalization
3--Training and Test Set. 4--Create the model
5--Modeling and Predictions
Also check this linear regression notebook in Colaboratory:
https://colab.research.google.com/drive/1DXkpo9PmH9_HiCSz9NQlZ9vGQtMIYqmF
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
and please leave a star 🌟