Training a machine learning model from scratch to predict housing prices

I walk through how to train a machine learning model to predict housing prices. Specifically, we use housing market data to train a linear regression model with scikit-learn. We explore our dataset, use stratified sampling to create effective training and test sets, impute missing data, log transform and scale our features appropriately for optimizing our training process. Finally, we discuss how we measure and improve our model's performance.
Code: colab.research...