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学生对 密歇根大学 提供的 Applied Machine Learning in Python 的评价和反馈

4.6
6,166 个评分
1,108 条评论

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

FL

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!!

OA

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

筛选依据:

776 - Applied Machine Learning in Python 的 800 个评论(共 1,092 个)

创建者 Parul S

Mar 25, 2019

excellent

创建者 Cyrus N P

Nov 24, 2018

THE BEST!

创建者 Saumya S

Sep 12, 2018

excellent

创建者 timetraveller

Sep 07, 2018

nice shiz

创建者 Srilatha T

Jan 09, 2018

excellent

创建者 Arnab

Nov 03, 2017

Excellent

创建者 clark x

Jul 02, 2017

very good

创建者 Megha T

Jun 26, 2017

helpful !

创建者 Daniel C C

Jun 22, 2017

Amazing!!

创建者 Mohammad Y

Jun 19, 2020

Perfect

创建者 V. P R

Sep 24, 2019

awesome

创建者 SHAHUL E

Sep 30, 2018

awesome

创建者 Ankur K

Sep 13, 2018

Awesome

创建者 Tam

Jul 26, 2018

Awesome

创建者 Markus T

Aug 12, 2017

Ist gut

创建者 Yoselin A

Jun 23, 2020

Great!

创建者 Nattawat B

Apr 19, 2019

Great!

创建者 Tushar T

Nov 06, 2017

Superb

创建者 Richard Z

Sep 03, 2019

Good.

创建者 Xia l

May 16, 2019

GREAT

创建者 xuhp

Nov 13, 2018

great

创建者 shubham

Mar 17, 2018

great

创建者 RAGHUVEER S D

Jul 25, 2020

good

创建者 N. S

Jul 07, 2020

good

创建者 Arif S

Jul 01, 2020

good