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学生对 University of Michigan 提供的 Applied Machine Learning in Python 的评价和反馈

4.6
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8,646 个评分

课程概述

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....

热门审阅

BS

Sep 17, 2020

Great content and good instruction. Need to fix the files in the assignments though. It's hard to keep track in the forums and frustrating go back and forth to find out why it's not working.

DB

Oct 22, 2020

EXTREMELY USEFUL AND GOOD COURSE, CONGRATULATIONS TO ALL THE PEOPLE INVOLVE.Honestly, I never thought I could learn so much in an online course, excited for the rest of the specialization

筛选依据：

1401 - Applied Machine Learning in Python 的 1425 个评论（共 1,574 个）

创建者 Jagadish C A

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Sep 18, 2019

Gives good overview of ML using Pyton

创建者 Mehrdad A

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Sep 22, 2024

It was summerized and beneficial

创建者 Shreekant G

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Jul 17, 2019

Really taught best ML algorithms

创建者 xingkong

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Aug 9, 2017

quiz is harder than assignment.

创建者 Rainer S

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Feb 4, 2024

A tough but well worth class.

创建者 shreyash t

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Jul 27, 2020

overalll good way to start ml

创建者 Vaibhav S

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May 27, 2020

way better than last teacher.

创建者 Nicolas B

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Jul 5, 2017

Muy buen curso, muy completo.

创建者 Sanskriti G

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Oct 25, 2021

it was an amazing experience

创建者 李祥泰

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Aug 14, 2017

Nice courses with nice quiz!

创建者 刘倬瑞

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Jul 28, 2017

Useful, though a little easy

创建者 Landon M L

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Jul 8, 2017

the discussion forum is good

创建者 Rizvaan M

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May 21, 2020

This was a great course.

创建者 Demirhan D

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Sep 8, 2022

I got too many errors.

创建者 Thi-Thu-Hong P

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Aug 10, 2022

Good course. I love it

创建者 Biswakarmi K

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Aug 18, 2021

very helpful course..

创建者 Yassin B M

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Jul 17, 2020

Good Course , Thanks!!

创建者 Burak

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Sep 30, 2018

good for scikitlearn.

创建者 David P

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Aug 4, 2021

A really good course

创建者 Bama

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Jul 11, 2020

This course is good.

创建者 Abhav T

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Jun 3, 2020

Nice course to study

创建者 Boris D

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Jan 17, 2021

Quite challenging.

创建者 Shashi K

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May 18, 2020

very good learning

创建者 HAMZAOUI M

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Jul 25, 2019

HARD BUT GOOD

创建者 Dr. K

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Oct 2, 2020

nice course