Scikit-Learn For Machine Learning Classification Problems

Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems. In this project, you will explore the powerful Scikit-Learn library and its capabilities for building and training classifier models. The course will cover the evaluation of trained classification models using various Key Performance Indicators (KPIs), providing comprehensive insights into their performance.

Throughout the course, you will gain a deep understanding of the theory and intuition behind the XG-Boost classifier model, a crucial component of modern machine learning. By leveraging the Scikit-Learn library, you will learn to train machine learning classifier models effectively, equipping you with the skills to tackle real-world classification challenges.

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