Machine Learning for Data Analysis

About this Course

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.

Created by: Wesleyan University


Related Online Courses

This course offers an introduction to social impact strategy and social entrepreneurship, including key concepts, an overview of the field, and tools to get started as a changemaker. Students will... more
This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning... more
Learners will co-create a high-quality, SEO-optimized nutrition blog article alongside the instructor, leveraging the capabilities of Jasper AI. By the end of the project, learners will have a deep... more
This course covers the very important topic of Supplier Partnerships. After a brief introduction to the course, the course will cover why partnerships are important and what exactly is a... more
In this project, you will learn the foundation of data analysis with Microsoft Excel using sales data from a sample company. You will learn how to use sorting and filtering tools to reorganize your... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL