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
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.
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!!
526 - 550 of 1,558 Reviews for Applied Machine Learning in Python
By john w
•Sep 14, 2020
good course. the homework actually aligned with the lesson content. I enjoyed this course
By David N
•Aug 21, 2020
Excellent course! I think University of Michigan's courses are the best ones in Coursera.
By Abdoulaye B
•May 10, 2020
This course was more challenging for me I was one of the best course so far I have taken.
By Pulkit K
•Apr 25, 2020
The content of the course was up to the standard. Please continue to make such course!!!!
By Konstantinos S
•Aug 15, 2017
Excellent course that really drives you hard to acquire hands on experience on the field.
By Omar M
•Jul 23, 2020
Excellent course no doubt , thanks to the instructor and the team prepared the course ..
By Mike F
•Jul 12, 2020
Good course, includes the fundamental of machine learning and how they applied in Python
By Tarun P S
•May 20, 2020
Be prepared for a lot of grinding but by the end, you'll be pretty good at the material.
By Jiefei W
•Apr 4, 2020
Assignments provided good examples on how to select, fit and optimize a model in Python.
By Sergej G
•Aug 17, 2019
An amazing course, the only downside is lack of in depth unsupervised learning material.
By elsa y
•Oct 9, 2018
really recommend！very helpful to my study of machine learning. the material is classical
By Shubham S M
•Sep 30, 2020
Very Nice Platform to learn any course really worthy for student to gain some knowledge
By Anders W
•Aug 16, 2020
Well structured course with challenging exercises that greatly supported the learning.
By Michael I
•Jul 29, 2020
Good connect between the course content, lectures and the assignments. Relvant content.
By Yashwardhan S
•Mar 9, 2022
Great course and everything was explained very well and in the simplest possible terms
By Vydumkin P
•Jan 11, 2021
Good ratio of new knowledge and experience vs mathematical and programming difficulty.
By Tiberiu
•Feb 1, 2020
A comprehensive review of the most important concepts and methods in machine learning.
By Daniel R
•Dec 12, 2018
Wonderful program, great teacher. Learned a lot and have used a bit in the real world!
By Santiago D D
•Sep 5, 2018
Excellent topic and presenter! I learned a lot about Machine Learning from this class.
By Somdev B
•Jun 27, 2021
This course is great for someone who wishes to explore the vista of machine learning!
By Dr S K
•Jan 8, 2019
Good course. Lots of material, and direction what to study. I have really enjoyed it.
By Luis A L P
•Dec 24, 2020
Es un excelente curso. Tiene contenido muy valioso y listo para ponerlo en práctica.
By Naren S
•Sep 4, 2020
the assignments are too hard,but really educative and interesting.i loved the course
By Faizaan W
•Jun 15, 2020
Really helpful
I will teach you ML from strach.
Thank you coursera & Trainer Thompsom
By sam s
•Mar 24, 2022
Even taking graduate level ML classes, the lessons I learned here are still useful!