Implementing Machine Learning model(s)
The data exploration and model evaluation was an excellent start to gain insights quickly and get a reasonably good model prototype.This dataset has much structure, and further work is required to build a high-performing prediction model.
For this analysis, we used three different machine learning models, which are Linear Regression, Random Forest, and XGBRegressor.