Scikit-Learn to Solve Regression Machine Learning Problems

Hello everyone and welcome to this new hands-on project on Scikit-Learn for solving machine learning regression problems. In this project, you will gain practical experience in building and training regression models using the Scikit-Learn library. You will also delve into the theory and intuition behind the XG-Boost regression model and learn how to evaluate the performance of trained regression models using various Key Performance Indicators (KPIs).

• Train machine learning regression models using Scikit-Learn library
• Gain insights into the theory and intuition behind XG-Boost regression model
• Evaluate the performance of trained regression models using various Key Performance Indicators (KPIs)

This project is designed to be directly applicable to various industries, allowing you to add this practical experience to your portfolio of projects, which can be instrumental for your next job interview. By completing this guided project, you will enhance your skills in machine learning regression and bolster your understanding of applying Scikit-Learn to solve real-world problems.