In this project, I predict 2022 Home Values using Simple Moving Average and then create a model, train and test it, to run a Random Forest Regression prediction of 2022 Home Values
I use Python’s sklearn and skforecast packages for the regression and matlibplot.pyploy and seaborn for additional graphs and data exploration.
View the process in its entirety on datalore below
