Overview
Explore the fundamentals of Predictive Analytics in this comprehensive course, a crucial subset of Artificial Intelligence (AI) technologies shaping the future. Understand how to develop models from data and gauge their effectiveness, an essential skill set in today's tech landscape. This course delves into machine learning and data science concepts, preparing you for the broader Machine Learning Operations (MLOps) Program. Gain practical experience in leading supervised learning techniques, including linear and logistic regression, decision trees, neural networks, and ensemble methods.
Key takeaways include understanding predictive models' capabilities and limitations, structure of data for predictive analytics, techniques for predicting numerical outputs or categories, and methods for evaluating a model's future performance. Offered by edX, this course is ideal for anyone interested in Machine Learning Courses, Neural Networks Courses, Data Science Courses, Predictive Analytics Courses, Linear Regression Courses, and Predictive Modelling Courses.
Syllabus
Taught by
Peter Bruce, Veronica Carlan, Jericho McLeod, Kuber Deokar and Janet Dobbins
Tags
edX
edX
300 Courses
edX
Free Online Course (Audit)
English
4 weeks, 5-7 hours a week
On-Demand
Intermediate
