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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

4,247 個評分
739 個審閱


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....



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!!


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


201 - Applied Machine Learning in Python 的 225 個評論(共 720 個)

創建者 Jephter K P

Sep 05, 2017

This was an opportunity i could never miss, i have learnt a lot

創建者 刘宇轩

Dec 14, 2017

The last homework is great and interesting.

創建者 Oleg D

Mar 24, 2018


創建者 谢仑辰

Mar 07, 2018

Though it just give us a limited amount of information about Machine Learning, it really drive me into the novel world of this field.The course told me a lot of basic concepts about ML, thus I can go through many thesis related to the realm, thanks.

創建者 王桢

Dec 03, 2017

this is an interesting machine learning course

can quickly understand the basic idea of machine learning and know how to build different models in python and select models based on different standards

it is a very good course to start with machine learning and can arouse the interests of learning more in this emerging field

創建者 Arun S

Nov 09, 2017

Great professor with lot of real world experience.

創建者 Sridhar I

Dec 21, 2017

A great crash course in some of the basics of machine learning on Python. Although not explicitly covered, the assignments helped me gain an understanding on the Jupyter framework & pandas.

The final assignment was definitely a cherry on top that let me gain a very vivid insight into the field.

創建者 Marcin C

Apr 29, 2018

Heavy, but extremely valuable course

創建者 Santhana C

Aug 05, 2017

Nice Course! Lots of useful information packed in 4 weeks. Be prepared spend some extra time if you want to really benefit from this course.

創建者 Jiangming Y

Mar 04, 2018

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

創建者 Senquan C

Feb 12, 2018

very Good practice

創建者 Fengping W

Mar 28, 2018

It is really a good one, and I learn a lot here, both for theory and applied skills. And the reading materials are really good resources

創建者 LEE D D

Nov 09, 2017

Perfect and hard course than Andrew Ng's ML course!

創建者 Nakul S

Jul 02, 2018

Great course, got to learn a lot. Very helpful discussion forum.

創建者 Anthony K

Jul 05, 2017

So far the course is relevant and very approachable.

創建者 Thomas W

Mar 06, 2018


創建者 Eduard M

Jul 05, 2017

The evaluation is sometimes problematic, otherwise is very good. I had a problem with matplotlib which was just imported and nowhere was written to remove it.

創建者 Frank L

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!!

創建者 Matthias B

Aug 05, 2017

Great course, very hands-on. Maybe difficult to follow without any prior knowledge in machine learning, though.

創建者 Lam M

Jun 09, 2017

Very well designed courses! There are many materials to go in depth even if you have done Python Machine Learning in the past.

創建者 Megha T

Jun 26, 2017

helpful !

創建者 Darren

Jul 02, 2017

Very Impressive and illustrative !!

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 Ebenezer A W

Nov 15, 2017

A really nice course to begin machine learning with

創建者 Nattapon S

Aug 03, 2017

It is a good class. I learn a lot from this course. It is a concise starting course for Python machine learning. I recommended this course.