Scikit-Learn is a powerful Python library for machine learning. It provides a wide range of algorithms and tools to build machine learning models. In this course, you will learn how to use Scikit-Learn to build and evaluate machine learning models.

Course Outline

  • Introduction to Machine Learning
  • Data Preprocessing
  • Supervised Learning
  • Unsupervised Learning
  • Model Evaluation
  • Case Studies

Prerequisites

  • Basic knowledge of Python
  • Understanding of basic statistics

Why Learn Scikit-Learn?

  • Scikit-Learn is easy to use and has a simple API.
  • It provides a wide range of algorithms for various machine learning tasks.
  • It is widely used in industry and research.

Course Resources

Scikit-Learn Logo