Chevron Left
Back to Applied Machine Learning in Python

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

4.6
stars
8,670 ratings

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

MB

Jun 18, 2017

Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.

S

Oct 23, 2021

It was good learning Machine Learning thru Python as using Python libraries like Pandas , Tensorflow,.etc made the work easier. Hope to do my masters in Machine Learning . Happy Learning <3

Filter by:

1326 - 1350 of 1,587 Reviews for Applied Machine Learning in Python

By Ulka K

•

Feb 27, 2020

I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.

By Vishwa M

•

Sep 3, 2021

Course Content was excellent. I really learned a lot. Assignment 4 was a hassle to submit though.

By Stephen R

•

May 8, 2018

Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking

By J N

•

May 23, 2021

Teaching by the professor is very good and i learnt every thing from scratch thankyou coursera

By Pierre D

•

May 1, 2021

Interesting course. Last exercise allows understanding how to use ML, when you are all alone.

By Michel H

•

Jan 23, 2020

helpfull, but so many information in little time. Difficult to get clarified the ideas behind

By Samantha

•

Apr 5, 2020

Very great courses ! It helps to deepen my knowledge in Machine learning. Very recommend it!

By Koffi K (

•

Oct 14, 2019

A part from some small issues when doing the last assignment(4), Everything was all right.

By Nicholas P

•

Dec 29, 2020

Good content and teacher but needs more interactivity before the final project every week

By WhiteCR

•

Feb 15, 2020

Good course for practicing machine learning algorithms with Python Sci-kit Learn package.

By soymilk

•

Oct 3, 2020

Contents of lecture are good but the assignments got many problems that should be fixed

By Falak S

•

Oct 28, 2020

It's really a great course for the beginner to begin with the machine learning basics.

By Haldankar S N

•

May 29, 2020

too much content for 4 weeks course as compared to other courses in the specialization

By YJFKD

•

May 19, 2020

Good course if you want to know how to build machine learning models via scikit-learn.

By Sumit t

•

Jun 23, 2020

Nice Course and good explanation about practical implementation of machine learning

By Niv B

•

Jul 30, 2018

On 1x speed, I'd rate it 3 stars, on 1.5x its 4.

The professor just speaks too slow.

By Sabin A

•

May 31, 2021

Nice course helps understanding the basic ideas about machine learning algorithms.

By Setiadi S

•

Jul 27, 2020

This course is good for somebody wanna to know about the Machine Learning, thanks.

By tqch

•

Jul 24, 2020

Just hoping the problems in assignments/quizzes could be explained more clearly.

By Claire-Isabelle C

•

Jun 24, 2017

I learned A LOT in this course and was pretty proud to pass all the assignments.

By CHIRAG G 2

•

Jan 1, 2023

I learn many things to this course Thank You for make this deep concept course.

By Saori Y

•

Jul 22, 2020

The course was really good! However, auto-grading system need to be updated....

By SAYANTAN B

•

May 9, 2020

Very nice and informative course..Keep it up. This course has helped me a lot.

By Deleted A

•

Jul 29, 2022

Classes and exercise are really good, but the assignement is really terrible