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

4.6
stars
7,522 ratings
1,372 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!!

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476 - 500 of 1,355 Reviews for Applied Machine Learning 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.

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 Lahari M

Jun 11, 2020

The best course ever for understanding the ml concepts clearly.thanks to coursera.

By Yunhong H

Mar 23, 2019

I learned a lot from this course. I gained confidence after I finished this course.

By Alejandro M

Jan 14, 2018

The Course give you a general view and direct applications in Business and Science.

By David M

Feb 26, 2021

Extremely useful. The most import course within the specialization in my opinion.

By Ozgun S

Aug 4, 2020

Both classes and assignments are both perfectly structured and very well designed.

By GAJULAMANDYAM D K R

Jun 13, 2020

very deep explanation...super quick guide for beginners interested in exploring ML

By Rodrigo G M

May 4, 2020

Very well presented. The content is on the correct depth, and very much practical.

By Muhammad M M

Jan 20, 2020

it's very good explanation about how we use Machine Learning in real-life problem.

By BRAD O

Aug 28, 2019

This is a great introductory course to Machine learning and I enjoyed it very much