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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

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967 条评论


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


676 - Applied Machine Learning in Python 的 700 个评论(共 951 个)

创建者 Akash G

Mar 03, 2019

awesome DS

创建者 John P

May 04, 2018

Thank you!

创建者 Rafael C

Jun 29, 2017

Very good!

创建者 Imad Z

Jun 01, 2020


创建者 Juan J H Á

May 25, 2020


创建者 Abinaya T

May 07, 2020

Very good

创建者 salah

Oct 12, 2019

thank you

创建者 Pratham N

Aug 22, 2019

very good

创建者 Edgar M d J G B

May 13, 2019


创建者 Марчевский В Д

Apr 29, 2019

Good one!

创建者 Parul S

Mar 25, 2019


创建者 Cyrus N P

Nov 24, 2018


创建者 Saumya S

Sep 12, 2018


创建者 timetraveller

Sep 07, 2018

nice shiz

创建者 Srilatha T

Jan 09, 2018


创建者 Arnab

Nov 03, 2017


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


创建者 V. P R

Sep 24, 2019



Sep 30, 2018


创建者 Ankur K

Sep 13, 2018


创建者 Tam

Jul 26, 2018


创建者 Markus T

Aug 12, 2017

Ist gut

创建者 Nattawat B

Apr 19, 2019