Predictive modeling is a statistical technique that uses data, machine learning algorithms, and modeling techniques. Used by various industries and individuals, predictive modeling is a powerful tool to predict future events.

This guided project comprehensively introduces predictive modeling and its applications in data analysis and decision-making.

You will build and evaluate regression models using the machine learning scikit-learn library and use those models for prediction and decision-making. You will then create exciting visualizations using visualization libraries such as seaborn and matplotlib. Next, you’ll apply built-in methods to model and visualize the data. Then you will create a pipeline to process the data. And you wrap up your guided project by evaluating the effectiveness of your model. 

After completing this project, you'll be able to:

 For this project, you will need:

Your online lab environment has everything you need to get started. Also, note that this platform works best with current versions of modern browsers.