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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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3,255 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

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!

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.

筛选依据：

201 - Practical Machine Learning 的 225 个评论（共 622 个）

创建者 Bojan B

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Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

创建者 Sebastian F

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Jan 24, 2016

Great course. Really educational and informative. Well taught too!

创建者 Su T T

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Feb 23, 2023

This course covers a wide range of topics about machine learning.

创建者 Roberto D

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Jun 20, 2017

Methods to be applied in preparation for creating a data product.

创建者 Reza M

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Jul 9, 2020

Excellent engaging course. At times difficult but very enjoyable

创建者 Alejandro B G

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Feb 9, 2016

A great Course, my favorite into the Data Science Specialization

创建者 Gary S

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Dec 31, 2017

Excellent intro to machine learning with interesting projects.

创建者 Prakash M

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Dec 25, 2017

Pushed me to learn and experiment and make mistakes. Thank you

创建者 Aleksey K

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Feb 9, 2016

Made many things clear. Perhaps, the best class in the series.

创建者 Anil P

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May 14, 2022

nice course, it enhance the knowledge on machine learning ...

创建者 Anna O

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Nov 4, 2020

a simple way of real practice of machine learning algorithms.

创建者 Vital

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Aug 1, 2017

No swirl exercises, but last project totally worth my time.

创建者 Rui R

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Feb 5, 2017

One of the best courses in the Data Science Specialization,

创建者 Jose R C

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Aug 16, 2016

The machine learning course every Data Scientist should do.

创建者 Harini A

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Jun 8, 2020

Good course material and very practical oriented training

创建者 Erich F G

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Apr 14, 2018

Great class. Easy to follow and I learned a great deal.

创建者 Sebastian R

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Sep 19, 2017

Great intro machine learning, you will know how to use it

创建者 Carlos B

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Aug 10, 2017

This was one of the better courses in the series, thanks.

创建者 Anitha C

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Jul 26, 2017

I enjoyed working on this course. There is a lot good and

创建者 ozan b

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Apr 21, 2017

Best course of the programme. Simple and explained well.

创建者 Harland H

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Sep 30, 2018

Very informative and the project was fun to accomplish.

创建者 Ilia S

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Apr 26, 2016

One of the most valuable courses in the specialization!

创建者 Klever M

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Jul 29, 2019

It was a great overview of the fascinating word of ML.

创建者 Giovanni M C V

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Feb 16, 2016

Excellent course with great didactic. Congratulations!

创建者 Julien N

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Dec 18, 2018

nice pace, good overview to start with modelling in R