Learner Reviews & Feedback for Regression and Classification by University of Colorado Boulder
About the Course
and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and
much more! This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered
on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied
Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application pr...
Top reviews
1 - 5 of 5 Reviews for Regression and Classification
By Daishin M
•Apr 28, 2024
Great course with clear and concise explanation. I highly recommend taking the course.
By Alexander N
•Jun 10, 2022
This is a fine course and I especially liked the lecturer and the lectures. However, the assignments are raw and do not provided clear requirements on how to complete them which takes a lot of time to figure out. The code provided in workshops is useful and applicable for future modelling.
By Dong Z
•Mar 14, 2023
This course is so NOT well designed and prepared. Contents are not clearly explained, assignments are too easy and some of the requirements are unclear.
By Purva P
•Jun 4, 2023
The focus should be on both - theory and practical application, which I did not see in this course. Practical Application makes the learning easy along with the theoretical explanations
By Gerardo C P
•Aug 2, 2024
No recomendable. Resolver las actividades de programación puede llegar a ser muy frustrante.