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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
8,605 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

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.

FL

Oct 13, 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!!

筛选依据:

576 - Applied Machine Learning in Python 的 600 个评论(共 1,574 个)

创建者 Srinivas B

Mar 25, 2018

Its almost great, just short of 5 star rating! Liked the hands-on examples more

创建者 Cristinel M

Jul 15, 2017

Great value! An excellent complement of Andrew Ng's course on Machine Learning!

创建者 Nevcihan t

Jul 28, 2020

It was really effcient couse about ML. It cover nearly all parts of ML models.

创建者 Sam J

Jul 19, 2019

Very straightforward and to-the-point course! Good intro to machine learning!!

创建者 Ben S

Jul 12, 2018

Great class. Final project was a little unclear, but forums were a great help.

创建者 Zihao H

Mar 6, 2018

Extremely useful courses, and well taught lectures, and reasonable assignments

创建者 Ana C R

Aug 31, 2017

Very practical view, while still containing a lot of good theoretical content.

创建者 Karthik H R

May 14, 2025

I learnt from great learning platform thanks coursera keep doing such courses

创建者 Gerasimos V

Nov 27, 2020

A course not in depth analysing the facts but give some very useful intuition

创建者 Adolfo G

Jan 29, 2019

Excellent course, you must to take it and work by yourself in the Assignments

创建者 Niklas v G

Dec 17, 2020

The course was pretty good at teaching the fundamentals of Machine Learning.

创建者 Roberto L

May 19, 2020

Good explanations about the topics, and also very good the optional readings

创建者 CHANDRASHEKHAR R

May 17, 2020

It is strong course about industry perspective. I love to learn this course.

创建者 Nathan R

Oct 17, 2017

Excellent course. A practical application of the concepts in Python/sklean.

创建者 陈熠

Aug 13, 2017

Very good machine learning course working on python with little mathematics.

创建者 Kanatbek A

Oct 29, 2023

You gain real knowledge of ML by challenging yourself with the assigments!

创建者 IamJM _

Sep 26, 2020

Extremely good course for your hands on implementation on machine learning.

创建者 Fernando G M G

Aug 8, 2020

This have been my favorite course so far in Coursera. I really learn a lot.

创建者 Lohit K

May 7, 2020

Amazing course, amazing professor and an overall great learning experience.

创建者 Max S

Apr 9, 2019

One of the best courses ever! Plenty of things to learn, to evolve. Superb!

创建者 Phat N

Feb 2, 2019

Very good introductory course to approach scikit_learn!! Highly Recommend!!

创建者 Lucas P G

May 25, 2020

Very good starting point to learn how to apply the algorithims of sklearn.

创建者 Evgeny C

May 18, 2020

Really good and insightful course, but auto grader needs some improvement.

创建者 Dr G N R

Jun 17, 2020

excellent . but somewhat twisty assignments. please give easy assignments

创建者 Bruce M

Mar 3, 2020

Excellent course. I learned a lot and enjoyed the challenging

assignments.