Scikit-Learn to Solve Regression Machine Learning Problems

About this course

Hello everyone and welcome to this new hands-on project on Scikit-Learn for solving machine learning regression problems. In this project, we will learn how to build and train regression models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests, gradient boosting, and k-means. This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.

What you will learn

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