Chevron Left
返回到 Applied Machine Learning in Python

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

4.6
8,020 个评分
1,463 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

OA

Sep 8, 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

AS

Nov 26, 2020

great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

筛选依据:

876 - Applied Machine Learning in Python 的 900 个评论(共 1,455 个)

创建者 JAVIER P

Dec 17, 2020

Excelent. Thank you

创建者 Charanpreet S B

Jul 17, 2020

Extremely Helpful |

创建者 JINGHONG L

May 26, 2020

I like this course.

创建者 Ramakant D

Mar 27, 2019

super..............

创建者 张超

Oct 10, 2018

很好的课程,但是不适合我现在的学习阶段

创建者 sagar s

Sep 30, 2018

Awesome. Worth it!.

创建者 TOKPLO F

Jun 3, 2020

i like this course

创建者 Radha S

Dec 5, 2019

Excellent course !

创建者 Nithin R

Dec 25, 2018

contents are good.

创建者 Taibur R

Dec 11, 2018

i love this course

创建者 Sylvain D

Sep 17, 2018

Great review of ML

创建者 Senquan C

Feb 11, 2018

very Good practice

创建者 Sanjay K

Jan 29, 2018

Awesome Insturctor

创建者 Birbal

Jul 18, 2017

Excellent learning

创建者 Gabriel P A S

Jan 11, 2022

Excellent course!

创建者 Hans C P

Jun 26, 2020

Excellent course.

创建者 Radhika p

Jun 3, 2020

it was wonderfull

创建者 Ayush P

May 26, 2020

Excellent Faculty

创建者 Hassan N

Jan 26, 2020

That's Very Great

创建者 Vinit D

Jan 9, 2020

Excellent Course!

创建者 Steven G

Nov 5, 2019

Excellent course.

创建者 Noureddine B

Sep 18, 2018

Excellent course.

创建者 Mohit K

Sep 9, 2018

Wonderful Course.

创建者 Evgeny V

Apr 4, 2018

Excellent course!

创建者 praneet n

Jan 9, 2018

i love the course