The Metis Short Immersive Course for Machine Learning Classification will equip you with in-demand skills so you can leverage classification methods to solve real-world problems. You’ll join daily live online classes and complete the course in just two weeks.
ENROLL NOWMACHINE LEARNING CLASSIFICATION COURSE
Week 1
Classification Basics
We’ll start with the basics. Week one of this ML online course is about getting acquainted with classification models and metrics. We’ll also cover feature engineering for classification problems.
Week 2
Classification Advanced
In week two, we’ll dive deeper into classification models and how to work with imbalanced data sets. At the end of the course, you’ll present a final project.
PROJECT
Apply your new skills by choosing a realistic classification problem to solve using a real world dataset. You’ll do this by using algorithms such as logistic regression, decision trees, random forest, gradient boosting, KNN, and more. Dive deeper into techniques for supervised machine learning, address the difficulties of class imbalance, and determine the proper metrics for your modeling problem.
What's Covered
Prerequisites
We recommend that you have a basic understanding of:
The Metis Bootcamps are designed to immerse you in a range of topics and skills needed to start a career in data science and analytics. Plus, you will get career support from industry-seasoned experts.