Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan
About the Course
these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit
learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those
clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit
learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, ...
Top reviews
FL
Oct 14, 2017
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
AS
Nov 27, 2020
great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
1351 - 1375 of 1,558 Reviews for Applied Machine Learning in Python
By Sai A D
•Oct 14, 2019
pre-processing and unsupervised learning needs more emphasis
By Deleted A
•Jul 13, 2018
there are some gaps which is really difficult to understand！
By ALFREDO E C P
•Apr 27, 2024
Great course, I just would love that it have more exercises
By Xingyu W
•Oct 14, 2019
Need a better configuration for homework data file loading.
By DENIS R
•May 23, 2020
allowed me to hone my knowledge of machine learning models
By Jason A
•Jun 26, 2018
This course was tougher than expected, but I learned a lot
By Bernardo A
•Jun 8, 2017
Great content and good assignments! Learned a lot from it.
By Gururaj K
•Nov 11, 2021
overall the course was good and has good content of data.
By Manoj B
•Jun 2, 2020
Decent course. I'd call this, 'Intro to Machine Learning'
By Antti H
•Oct 23, 2020
Good course, but the labs have quite a few bugs in them.
By Wang Y
•Feb 16, 2018
Good, despite some confusions in the lecture and quiz.
By Tangudu S S
•May 23, 2020
Got a very clear picture of ML usage in Data Science.
By Yash B
•May 7, 2020
It was little bit difficult specially the assignments
By Abhishek R
•May 27, 2018
Needed a better retrospect on final/week 4 assignment
By Varun S
•Aug 30, 2022
Lot's of problems with automatic grader. Please fix.
By Alexander C
•Mar 11, 2018
Good introductory course. A lot of material covered.
By Dr. F T
•Aug 17, 2018
Good but I was expecting much details in some area.
By KOSHAL K
•Mar 1, 2020
Its a very good course for an intermediate level.
By Vinay P d L R
•Sep 26, 2017
goes too fast and too shallow to deserve 5 stars
By Wissal A
•Feb 19, 2023
Tests the aspects treated in the learning phase
By Adesh T
•Feb 8, 2022
It was amazing journey to complete this course.
By Prerna A
•Apr 27, 2021
The course is planned in a very structural way.
By Anendra G
•Apr 30, 2018
Awesome theory about machine learning concepts.
By Catherine M
•Mar 1, 2021
Nice course. A lot of ML models get presented.
By harsh a
•Feb 4, 2018
Good course.
Thanks to entire team
Harsh Arora.