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
7,291 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

AS
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.

FL
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!!

Filter by:

426 - 450 of 1,308 Reviews for Applied Machine Learning in Python

By Yashar Z

Aug 29, 2017

This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.

By Pere J G F

Apr 26, 2021

Straight to the point for someone who's knowledgeable about machine learning but not python scikit

By Yogesh

Apr 20, 2020

Course is really good. It is good to learning. But needs to add little more mathematical concepts.

By Remy J

Dec 4, 2020

Fantastic course. Contains a wealth of information and provides challenging problems and quizzes.

By Lorena G

Aug 4, 2017

Still some hard for me both the quiz and assignment, however it is interesting and worth studying

By Kavindu W

Nov 14, 2020

Excellent course. Some of the functions used in the course are outdated and not working anymore.

By Laby D C

Oct 1, 2020

Ce cours vraiment et m'a été d'une très puissant outil d'aide dans ma formation en Data Science

By Dr. R R K

May 3, 2020

Week 2 assignment is hard to solve. My appeal is to review the questions again and make it easy.

By Nitin K

Mar 10, 2019

Well structured course that gave a good insight on applying Machine learning to real life cases.

By Jiangming Y

Mar 4, 2018

This is an excellent course, from which I have learnt a lot about machine learning with Python.

By Ahmed S

Oct 29, 2020

excellent course for reviewing machine learning algorithms and difference between each of them.

By Muhammed J

Jul 16, 2020

The instructor for this course was really good compared to the previous ones. I learnt a lot...

By Yuxin W

Aug 29, 2019

Excellent course, with very clear lectures and useful exercises. Final project was interesting.

By Mohamad F I

Jun 24, 2018

A good course focusing on basics of machine learning. Great for beginner with python knowledge.

By Ivan R

Aug 5, 2017

Great course that covers the key aspects of machine learning in a manner that is easy to follow

By Dmitry B

Jul 22, 2017

This course is the fast lane to hands-on experience with machine learning tools and algorythms!

By Martin H

Jul 5, 2017

very excellent course, must take if you are welling to deal with data and applying ML al. to it

By miguel c

Mar 10, 2019

Great collection of applied Data Science concepts, worked examples and challenges using python

By Varga I K

Feb 25, 2019

Great and Strong fundamentals on machine learning without too much mathematics involved in it.

By harsh J

Feb 14, 2021

Best Practical Course Ever Found. Learned many new things and applied them to other projects.

By Reginaldo S

Apr 7, 2020

This course is perfect for those who wants to learning machine learning techniques in Python.

By Arpit S

Jun 13, 2019

A Great course, the extra offered learning material helped me out to dig deep into the course

By Wix Z

Apr 27, 2019

I can build a easy machine learning pipeline by myself after learning a lot from this course.

By Abe G V T S

Oct 8, 2017

Great course! Very recommended! Though the assignments were kinda hard, but they are worth it

By Ardong S

Sep 6, 2020

highly recommended course for intermediate machine learning practitioner (or also beginner).