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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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8,646 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

MB

Jun 18, 2017

Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.

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：

626 - Applied Machine Learning in Python 的 650 个评论（共 1,574 个）

创建者 Shyamselvaraj S

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Sep 20, 2020

Good course for newbies who new ML , but want to apply using python

创建者 Sooraj S

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Mar 31, 2019

Good introduction to Machine Learning and implementation in Python.

创建者 Charles F

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Aug 30, 2017

Quite challenging but perfect for getting to grips with applied ML.

创建者 ShaoZhiyi

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Jun 28, 2017

Pretty good. Could you add a new chapter for unsupervised learning?

创建者 RUDRAJIT D

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Oct 24, 2021

very good platform for learning applied machine learning in python

创建者 Christopher S

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Feb 12, 2021

Challenging, but it is literally the only way to learn this stuff.

创建者 SHAHAPURKAR S M

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May 4, 2020

Excellent course material and challenging evaluation components !!

创建者 Mario A B L

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Sep 19, 2019

Amazing course with a lot of in practice lectures and assignments.

创建者 Phillip L C

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Dec 25, 2018

Great course - balanced and very revealing for direct application.

创建者 Seyed A T

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Aug 7, 2018

Very useful course to start working with different ML techniques.

创建者 Saifullah

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Jun 8, 2018

Well designed for practicing, helps a lot in applying ML in python

创建者 Baskaran V

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Dec 29, 2017

One of the very informative from the basic to intermediate course.

创建者 Miquel M

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Jun 30, 2017

Really good course. Lectures and Assignments are very interesting.

创建者 Sourabh J

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Jun 20, 2017

Very Good and Relevant Course. Professor and TAs are very helpful.

创建者 zaib z

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Nov 4, 2022

I am very thankful to Coursera for providing me this opportunity.

创建者 Tatek E

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Mar 23, 2020

Excellent presentation, exercise and reading materials. Thank you

创建者 Marc B

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Jun 30, 2017

I learnt a lot about machine learning - great assignments as well

创建者 Daniel S A

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May 12, 2021

Really good course if you are starting to learn Machine Learning

创建者 John P

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Apr 10, 2021

Fantastic Course. Loved the quizzes and programming assignments.

创建者 Chinmay A T

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Jun 24, 2020

Very Good course. Instructor explained every topic very clearly.

创建者 Nakul S

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Jul 1, 2018

Great course, got to learn a lot. Very helpful discussion forum.

创建者 19IT001 A

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Jul 26, 2021

Great one! Learnt In-depth working of all supervised algorithms

创建者 Bibek B

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Nov 15, 2020

Well balanced course. The lecture and assignment were excellent

创建者 SIVASHANKARAN K

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Jul 16, 2020

Mentor for this course is very good at explaining each concepts

创建者 Radhe R

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Nov 16, 2019

Great course for someone like me with mid level skills in ML/AI