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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

4.6
8,053 個評分

課程概述

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....

熱門審閱

FL

2017年10月13日

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!!

OA

2017年9月8日

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

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1251 - Applied Machine Learning in Python 的 1275 個評論(共 1,465 個)

創建者 Falak S

2020年10月28日

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

創建者 Haldankar S N

2020年5月29日

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

創建者 YJFKD

2020年5月19日

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

創建者 Sumit t

2020年6月23日

Nice Course and good explanation about practical implementation of machine learning

創建者 Niv B

2018年7月30日

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

The professor just speaks too slow.

創建者 Sabin A

2021年5月31日

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

創建者 Setiadi S

2020年7月27日

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

創建者 tqch

2020年7月24日

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

創建者 Claire-Isabelle C

2017年6月24日

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

創建者 Saori Y

2020年7月22日

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

創建者 SAYANTAN B

2020年5月9日

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

創建者 Lucas C R

2022年7月29日

C​lasses and exercise are really good, but the assignement is really terrible

創建者 ABHAY T

2020年10月31日

Please add the explanation on concepts on board.. sure that will impact more!

創建者 Hanchi W

2019年5月18日

Good content, some coding assignments are hard to submit(csv file not found)

創建者 Vishwanath V

2020年12月19日

Its well designed course providing good overall concept involved in the ML.

創建者 Bharat R

2017年8月22日

Nice course. Multiple choice quizzes could have been worded a bit better.

創建者 Grace Y

2020年5月15日

the material for self-learning after classes is not comprehensive enough.

創建者 Douglas P

2018年5月28日

Generally worth while but the automatic grading system could be improved.

創建者 Daniel A

2018年9月1日

Very useful. It's the right course to take after Andrew Ng ML course.

創建者 Shwetank A

2019年7月23日

Algorithim are not explained much better, just coding is explained.

創建者 Hardik A

2018年1月4日

An amazing course for learning the application of machine learning.

創建者 Tom M

2017年9月27日

Clean programming examples. A little simplistic for advanced users.

創建者 Davide M

2018年10月24日

Should be an harder final assignement, but a great course overral!

創建者 Jeffrey D B

2018年10月16日

Pretty good class, decent but very quick walk-through of ML tools.

創建者 Arun P P

2020年7月29日

It was n insightful course but was quite advanced for a beginner.