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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

SA

Aug 14, 2019

- more technical materials, comparisons and better classified details should've been provided, especially to be more proportional to the assignments.-again, subtitles were full of typos

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!

筛选依据：

551 - Applied Machine Learning in Python 的 575 个评论（共 1,599 个）

创建者 Faizaan W

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Jun 15, 2020

Really helpful

I will teach you ML from strach.

Thank you coursera & Trainer Thompsom

创建者 sam s

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Mar 23, 2022

Even taking graduate level ML classes, the lessons I learned here are still useful!

创建者 Lahari M

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Jun 11, 2020

The best course ever for understanding the ml concepts clearly.thanks to coursera.

创建者 Yunhong H

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Mar 23, 2019

I learned a lot from this course. I gained confidence after I finished this course.

创建者 Alejandro M

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Jan 14, 2018

The Course give you a general view and direct applications in Business and Science.

创建者 David M

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Feb 26, 2021

Extremely useful. The most import course within the specialization in my opinion.

创建者 Ozgun K S

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Aug 4, 2020

Both classes and assignments are both perfectly structured and very well designed.

创建者 GAJULAMANDYAM D K n (

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Jun 13, 2020

very deep explanation...super quick guide for beginners interested in exploring ML

创建者 Rodrigo M

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May 4, 2020

Very well presented. The content is on the correct depth, and very much practical.

创建者 Muhammad M M

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Jan 19, 2020

it's very good explanation about how we use Machine Learning in real-life problem.

创建者 BRAD O

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Aug 28, 2019

This is a great introductory course to Machine learning and I enjoyed it very much

创建者 Antonios P

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Nov 29, 2017

Nice introductory course to Machine Learning, with focus on applying it in Python.

创建者 Gifari Z

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Nov 1, 2020

Very nice introduction of ML using python. Comprehensive and practical materials.

创建者 Millennium G

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Jul 18, 2020

Great course! Professor is also very good as he took real life examples to teach.

创建者 PATEL H K

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Jun 2, 2020

Awesome course!! should definitely take this to learn Machine Learning in advance

创建者 George d V C N

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May 31, 2020

Great course, a lot of practice with some theory. It's a great resource to start.

创建者 Tom M

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Jan 22, 2019

Wow, great course, so much material covered. Will save this one for later review.

创建者 Romel C B

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Dec 19, 2018

Me gusto muchísimo, los temas, la dinámica para el aprendizaje y el trabajo final

创建者 I.P

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Sep 10, 2024

Excellent. A very good combination of detailed and global view of all the field.

创建者 kosar a

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Nov 25, 2023

I enjoyed process of learning ML by this course. Thanks for all your hard works.

创建者 Vitor O T A

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Mar 9, 2023

Very nice content and classes, not so good evaluation of our performance though.

创建者 Juan S C G

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Sep 25, 2021

So far, the hardest course of this especialization. However, quite interesting.

创建者 Gregory B

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Dec 14, 2020

Excellent to review all basics and more complex ML Model explanation in deeper .

创建者 Mohd A A

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Aug 28, 2019

By the end of this course, you can apply your knowledge in different hackathons.

创建者 Chengying L

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Jun 7, 2020

The course is fun, but changing the assignment directory each time is tricky...