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學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋

6,711 個評分
1,205 條評論


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....



Sep 09, 2017

This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses


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!!


401 - Applied Machine Learning in Python 的 425 個評論(共 1,187 個)

創建者 Yuxin W

Aug 30, 2019

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

創建者 Mohamad F I

Jun 25, 2018

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

創建者 Ivan R

Aug 06, 2017

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

創建者 Dmitry B

Jul 22, 2017

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

創建者 Martin H

Jul 06, 2017

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

創建者 miguel c

Mar 10, 2019

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

創建者 Varga I K

Feb 25, 2019

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

創建者 Reginaldo S

Apr 07, 2020

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

創建者 Arpit S

Jun 13, 2019

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

創建者 Wixee Z

Apr 28, 2019

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

創建者 Abe G V T S

Oct 08, 2017

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

創建者 Ardong S

Sep 06, 2020

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

創建者 Daniel W

Jun 11, 2020

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

創建者 Sultan M A A

Nov 08, 2019

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

創建者 Felipe F

Aug 29, 2019

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

創建者 Devashish S

Sep 08, 2017

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

創建者 Bernard F

Jul 31, 2017

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

創建者 Ishan D

Sep 27, 2020

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

創建者 Gustavo W

Jun 19, 2017

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

創建者 Jun W

Aug 04, 2018

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

創建者 john w

Sep 14, 2020

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

創建者 David G N A

Aug 21, 2020

Excellent course! I think University of Michigan's courses are the best ones in Coursera.

創建者 Abdoulaye B

May 10, 2020

This course was more challenging for me I was one of the best course so far I have taken.

創建者 Pulkit K

Apr 25, 2020

The content of the course was up to the standard. Please continue to make such course!!!!

創建者 Konstantinos S

Aug 15, 2017

Excellent course that really drives you hard to acquire hands on experience on the field.