multivariable-regression

Solution & Learning Points

• 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.