I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

In multi-target regression, models are designed to predict a vector of continuous responses rather than a single outcome, thereby capturing the often intricate interdependencies among targets.