This model will then be used to estimate the best selling price for your clients' homes.

This project is designed to get you acquainted with the many techniques for training, testing, evaluating, and optimizing models, available in sklearn.

Things you will learn by completing this project:

How to explore data and observe features. How to train and test models. How to identify potential problems, such as errors due to bias or variance. How to apply techniques to improve the model, such as cross-validation and grid search.

Enjoyable reading