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Learner Reviews & Feedback for Applied Machine Learning in Python by University of Michigan

7,292 ratings
1,331 reviews

About the Course

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind 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, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....

Top reviews

Nov 26, 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.

Oct 13, 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!!

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451 - 475 of 1,308 Reviews for Applied Machine Learning in Python

By Daniel W

Jun 11, 2020

Very nice course to better understand Scikit Learn and Python potential for Machine Learning

By Sultan M A A

Nov 8, 2019

the course was fun and full of information to learn. very well professor. thank you so much.

By Felipe F

Aug 29, 2019

Excellent applied course! Very intuitive and the instructor is very kind in his explanations

By Devashish S

Sep 7, 2017

Really hands on course and the perfect way to get to know the domain and learn ML in Python.

By Bernard F

Jul 31, 2017

Excellent balance of theory and practical work through code samples, quizzes and assignments

By Mengru Z

Mar 19, 2021

Quite challenging course to get started with machine learning! Interesting and worth a try!

By Ishan D

Sep 27, 2020

Best course to learn applied machine learning and you'll be able to apply in real life too.

By Gustavo W

Jun 19, 2017

Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way

By Jun W

Aug 4, 2018

A very good course. The Jupyter Notebook of this course is very useful and self-contained.

By john w

Sep 14, 2020

good course. the homework actually aligned with the lesson content. I enjoyed this course

By David G N A

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 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 Vydumkin P

Jan 11, 2021

Good ratio of new knowledge and experience vs mathematical and programming difficulty.

By Tiberiu T

Feb 1, 2020

A comprehensive review of the most important concepts and methods in machine learning.