The Metis Short Immersive Course for Machine Learning (ML) Classification will equip you with in-demand skills so you can leverage classification methods to solve real-world problems.
MACHINE LEARNING CLASSIFICATION COURSE
Unit 1
Classification Basics
We’ll start with the basics. Unit one of this ML online course is about getting acquainted with classification models and metrics. We’ll also cover feature engineering for classification problems.
Unit 2
Classification Advanced
In unit 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:
Study on your own with on-demand lessons, and get added support with 1:1 time from your instructor. Deadlines help keep you on track.
Length
Tuition
Weekly Time Commitment
Schedule
Lectures
Instructors
Office Hours
Project Presentations
Social Activities
Online Flex
4 weeks
$2,500
15-20 hours/week
Flexible
On-Demand
Metis Data Scientists
Weekly
Live Online
Live Online
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.