Well done! This was the most challenging data science project to date!

Today you've learned

• How to quickly spot relationships in a dataset using Seaborn's .pairplot().

• How to split the data into a training and testing dataset to better evaluate a model's performance.

• How to run a multivariable regression.

• How to evaluate that regression-based on the sign of its coefficients.

• How to analyse and look for patterns in a model's residuals.

• How to improve a regression model using (a log) data transformation.

• How to specify your own values for various features and use your model to make a prediction.

You can download the completed code for today in this lesson.