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
Art can be a powerful catalyst for a better understanding of ourselves and a range of other subjects. Learn how to integrate modern and contemporary art into the classroom using inquiry-based... more
Master key data structure and algorithm concepts through this practical course, designed to strengthen your programming problem-solving skills. By exploring real-world interview questions, you\'ll... more
This course provides foundational understanding of how computers process information through hardware and software. You will investigate the world of Information Technology (IT) and survey hardware... more
Petroleum Engineering with AI Applications offers a comprehensive learning experience combining upstream and midstream operations with AI. The course covers the oil and gas field life cycle,... more
Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech... more
Powered by
