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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

8,053 个评分


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....



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.


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


1326 - Applied Machine Learning in Python 的 1350 个评论(共 1,465 个)

创建者 Rizvaan M

May 21, 2020

This was a great course.

创建者 Thi-Thu-Hong P

Aug 10, 2022

Good course. I love it

创建者 Biswakarmi K

Aug 18, 2021

v​ery helpful course..

创建者 Yassin B M

Jul 17, 2020

Good Course , Thanks!!

创建者 Burak

Sep 30, 2018

good for scikitlearn.

创建者 David P

Aug 4, 2021

A really good course

创建者 Bama

Jul 11, 2020

This course is good.

创建者 Abhav T

Jun 3, 2020

Nice course to study

创建者 Bhoris D

Jan 17, 2021

Quite challenging.

创建者 Shashi K

May 18, 2020

very good learning

创建者 hamzaoui m

Jul 25, 2019


创建者 Dr. K

Oct 2, 2020

nice course

创建者 Aditya V

Jul 3, 2018



Jul 23, 2017

Awesome !!!


Jun 10, 2020

hard a bit

创建者 Diego M

Jun 29, 2022


创建者 Deepak T

Jan 13, 2020

Very Good

创建者 Md J A

Aug 18, 2017

very good

创建者 MOHD A

Sep 10, 2020


创建者 NITYA B 2

Oct 17, 2021


创建者 tanmoy p

Dec 18, 2020


创建者 Learner

Nov 28, 2020


创建者 Anant k

Sep 26, 2020


创建者 Sajal P

Aug 12, 2020


创建者 Latha B N

Jul 9, 2020