Very Good and Educational
Machine Learning: Concepts and Applications

This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, clustering, principal component analysis, hidden Markov models, and deep learning. A key feature of this course is that you not only learn how to apply these techniques, you also learn the conceptual basis underlying them so that you understand how they work, why you are doing what you are doing, and what your results mean. The course also features real-world datasets, drawn primarily from the realm of public policy. It is based on an introductory machine learning course offered to graduate students at the University of Chicago and will serve as a strong foundation for deeper and more specialized study.
IntermediateCourse38 hours

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k p
5.0
Reviewed Jan 21, 2025Amuthan S 23PHD0258
5.0
Reviewed Apr 25, 2024Very Useful Good
Sangeetha V 23PHD0182
5.0
Reviewed Apr 25, 2024Thank you sir.
Kanakanti Srinivasul Reddy
5.0
Reviewed Oct 29, 2023excellent
Ramesh V 22PHD0140
5.0
Reviewed May 11, 2023very good
RACHAPALLE HARINATHAREDDY
5.0
Reviewed Oct 24, 2023good
Daniil Kerechanin
3.0
Reviewed Jan 8, 2023Course is pretty raw. Most of practice tasks are ambiguous. Some tasks can be done in different ways but the author wants it to be done in one specific.
JD Collard
1.0
Reviewed Aug 28, 2023BAD QUALITY COURSE
404 error on the 1st Lab
and then the Auto grade doesn't work on the graded QUIZ
No answers to student questions...
Js Sr
1.0
Reviewed Oct 24, 2022Good content gone to waste. The outograder doesn't work, so you have to quit the course in the second week.
Anastasia Stuckner
1.0
Reviewed Jul 21, 2022Autograder gives zero feedback.
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