Scikit-Learn For Machine Learning Classification Problems

About this course

Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems. In this project, we will learn how to build and train classifier 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.

What you will learn

• 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