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学生对 University of Michigan 提供的 Applied Machine Learning in Python 的评价和反馈

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8,770 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

PS

Apr 2, 2018

Extremely useful course! You really get a lot of value from it and exactly what you would expect from such course! Very entertaining and a lot of additional educational materials! Thank You a lot!

DB

Oct 22, 2020

EXTREMELY USEFUL AND GOOD COURSE, CONGRATULATIONS TO ALL THE PEOPLE INVOLVE.Honestly, I never thought I could learn so much in an online course, excited for the rest of the specialization

筛选依据：

501 - Applied Machine Learning in Python 的 525 个评论（共 1,599 个）

创建者 Yuxin W

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Aug 29, 2019

Excellent course, with very clear lectures and useful exercises. Final project was interesting.

创建者 Mohamad F I

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Jun 24, 2018

A good course focusing on basics of machine learning. Great for beginner with python knowledge.

创建者 Ivan R

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Aug 5, 2017

Great course that covers the key aspects of machine learning in a manner that is easy to follow

创建者 Dmitry B

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Jul 22, 2017

This course is the fast lane to hands-on experience with machine learning tools and algorythms!

创建者 Martin H

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Jul 5, 2017

very excellent course, must take if you are welling to deal with data and applying ML al. to it

创建者 miguel c

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Mar 9, 2019

Great collection of applied Data Science concepts, worked examples and challenges using python

创建者 Imre V

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Feb 25, 2019

Great and Strong fundamentals on machine learning without too much mathematics involved in it.

创建者 Kevin A V Z

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Jul 30, 2025

Excellent presentations and learning materials! Assignments and quizzes level is challenging.

创建者 MANISH S 2

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Dec 25, 2022

I am very happy that I have completed Applied Machine Learning in python course from Coursera

创建者 harsh J

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Feb 14, 2021

Best Practical Course Ever Found. Learned many new things and applied them to other projects.

创建者 Reginaldo S

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Apr 7, 2020

This course is perfect for those who wants to learning machine learning techniques in Python.

创建者 Arpit S

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Jun 13, 2019

A Great course, the extra offered learning material helped me out to dig deep into the course

创建者 Wix Z

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Apr 27, 2019

I can build a easy machine learning pipeline by myself after learning a lot from this course.

创建者 Abe G V T S

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Oct 8, 2017

Great course! Very recommended! Though the assignments were kinda hard, but they are worth it

创建者 Tai J S

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Dec 7, 2023

very insightful content and i like the assignments/quizzes to test the things learnt from it

创建者 Ardong S

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Sep 6, 2020

highly recommended course for intermediate machine learning practitioner (or also beginner).

创建者 Daniel W

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Jun 10, 2020

Very nice course to better understand Scikit Learn and Python potential for Machine Learning

创建者 Sultan A

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Nov 8, 2019

the course was fun and full of information to learn. very well professor. thank you so much.

创建者 Felipe F F

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Aug 29, 2019

Excellent applied course! Very intuitive and the instructor is very kind in his explanations

创建者 Devashish S

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Sep 7, 2017

Really hands on course and the perfect way to get to know the domain and learn ML in Python.

创建者 Bernard F

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Jul 31, 2017

Excellent balance of theory and practical work through code samples, quizzes and assignments

创建者 Qamarul A A M

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Oct 10, 2022

very insightful. appreciate the more practical application of the libraries and packages

创建者 Junqing Z

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Oct 4, 2021

Really useful course. Love the talking pace of the instructor Prof. Kevyn Collins-Thompson!

创建者 Mengru Z

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Mar 18, 2021

Quite challenging course to get started with machine learning! Interesting and worth a try!

创建者 Ishan D

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Sep 26, 2020

Best course to learn applied machine learning and you'll be able to apply in real life too.