How to Build your First Machine Learning Model in Python

So what machine learning model are we building today? In this article, we are going to be building a regression model using the random forest algorithm on the solubility dataset. After model building, we are going to apply the model to make predictions followed by model performance evaluation and data visualization of its results. So which dataset are we going to use? The default answer may be to use a toy dataset as an example such as the Iris dataset (classification) or the Boston housing dataset (regression).