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
Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a... more
The Final Project will be a hands-on, comprehensive project that practitioners of virtual education can implement in their profession. For this final project, learners will draft a design plan for... more
This course focuses on the physics of the atmosphere and its consequences on speed and altitude measurements. At the end of this course, you will understand precisely the meaning of the speed and... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to call Gemini using the OpenAI libraryCreated by: Google Cloud more
The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a... more