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学生对 Johns Hopkins University 提供的 Practical Machine Learning 的评价和反馈

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3,257 个评分

课程概述

One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation....

热门审阅

VG

Nov 8, 2020

Great introduction to ML.Demands focus and hard work. Forces one to review earlier courses - Statistical Inference, regression models, EDA.Leaves lots of appetite for additional knowledge and skills.

JC

Jan 16, 2017

excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!

筛选依据：

451 - Practical Machine Learning 的 475 个评论（共 623 个）

创建者 carlos j m r

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Oct 5, 2017

I thought there were Swirl practice as other courses, however this course is very good.

创建者 alon c

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Mar 10, 2016

Great Course, will be nice to have more projects to see how it goes with different data

创建者 Anant S

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Jun 30, 2017

good course for initial understanding of machine learning. SVM can also be included.

创建者 Caio H F A

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Aug 23, 2019

I learned a lot in this course, but I would recommend taking the courses in order.

创建者 danxu

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Mar 13, 2017

very good, but if it has swirl practice like th other courses it would be perfect.

创建者 Christian W

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Jan 31, 2017

First 3 weeks are manageable and the final project is great! I had a lot of fun :)

创建者 Yew C C

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Feb 4, 2016

Wish to have more systematic structure, detail information and hands-on exercises.

创建者 vivek s

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Jun 7, 2016

introduces lot of machine learning techniques which are used by practitioners !

创建者 Ramiro A

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Aug 30, 2016

Nice course, Gives a god insight on what can me done with R and Predictions

创建者 Daniel U

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Feb 17, 2016

Fast paced and little focused on the algorithms but quite useful overall.

创建者 Matt L

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Jan 6, 2016

Really good overview of machine learning techniques and model evaluation.

创建者 Bhawani P

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Jan 6, 2017

briefly summarised the machine learning algorithms. Good place to start!

创建者 Hasib u R

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Feb 10, 2016

A good course where you can learn how ML algorithms work practically.

创建者 Saurabh K

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Mar 9, 2017

Very useful course to develop level knowledge in machine learning.

创建者 Johnny C

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Oct 23, 2018

It was in general nice course. However, quizzes need improvement.

创建者 Karthik R

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Aug 7, 2017

Bit tough, but I will have to say, good introductory course.

创建者 Coral P

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Aug 18, 2017

The project is good in letting us practise what we learnt

创建者 Trung N T

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Apr 19, 2018

Thank you! My teacher. The course very good. Many thanks

创建者 Shobhit T

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Dec 18, 2017

Great course with practical insights on machine learning

创建者 Minki J

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Dec 28, 2017

good to know many concepts of machine learning model.

创建者 Shikhar K D

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Oct 1, 2020

A very helpful course in this specialization series.

创建者 Diego T B

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Nov 7, 2018

Very useful. The models were very easy to understand

创建者 Grigory S

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Aug 28, 2018

A bit short on practical aspects of different models

创建者 Alfredo M

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Aug 22, 2016

Excelente curso. Ótimo conhecimento dos instrutores.

创建者 Ryan S

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Apr 25, 2024

Good material, should be updated to use tidymodels