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学生对 IBM 提供的 Exploratory Data Analysis for Machine Learning 的评价和反馈

4.6
2,477 个评分

课程概述

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud  Describe and use common feature selection and feature engineering techniques Handle categorical and ordinal features, as well as missing values Use a variety of techniques for detecting and dealing with outliers Articulate why feature scaling is important and use a variety of scaling techniques   Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience  with Machine Learning and Artificial Intelligence in a business setting.   What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics....

热门审阅

AP

Feb 25, 2023

This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.

DS

Nov 30, 2020

The only reason that I do not give it 5 stars is because the website of coursera is not good enough to handle the peer review assignments at the end of the course.

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476 - Exploratory Data Analysis for Machine Learning 的 500 个评论(共 502 个)

创建者 Stephen C

Jan 2, 2022

Frankly, the presenter is a poor educator and the course materials are weak. The examples are limited, some explanations verge on incorrect (description of p-values), and several of the graded test questions are ambiguous and encourage rote learning of the teacher's preference/positions, rather than testing the underlying concepts. I expect better from IBM.

创建者 Martin P

May 28, 2025

Did not like it very much. It is a very fast paced course, only a little effort is dedicated to practice labs both in content and presentation. Courses in IBM Data Science certification were done in much higher overall quality.

创建者 Mpho M

Dec 1, 2020

Course videos are way too long.

No Jupyter support, so for the coding exercise one has to download the notebooks and either use Google Colab or locally installed Jupyter notebook.

创建者 Sayan M

Feb 24, 2023

The explanation from mentor in this course was not that great. It felt like he was just reading some lines from an script, rather than explaining in simple terms.

创建者 Walter B

Jun 14, 2021

The course starts well. Then it goes to statistics and not so much to machine learning. The assignment is not so geared towards machine learning.

创建者 Agban o

Sep 1, 2023

the lecture seemed difficult to follow. i wish things where better explained. had to go back and take some other courses to enable me catch up

创建者 basilis s

Apr 8, 2024

Not a very good understanding of all the concepts. The tests had concepts that weren't explained in the videos correctly.

创建者 Yazan K

Aug 21, 2024

the instructor didn't actually explain this course very well and I find it too hard to to understand a lot of things

创建者 Arshad R

Jul 9, 2024

Very vague - Un clear instructions - hard to follow - hard to understand the speaker.

创建者 Shahbaz A K

Oct 4, 2023

Does not cover basics in depth or with any clarity.

创建者 Carlos M

Jun 6, 2024

Se explica con poca profundidad cada tema

创建者 HAMZAH A

Dec 27, 2022

Not explained very well

创建者 ValidaR

Dec 19, 2024

Lack of information

创建者 Aryan S

Mar 9, 2025

na

创建者 Zahra B

Dec 31, 2024

This course was a challenging experience, and I struggled to follow the instructor. The quality of the content was poor, with numerous references to unclear terms that were not explained adequately. The instructor mostly read directly from a presentation, adding little to no additional value. Without studying the material elsewhere, I would have been unable to grasp many of the concepts introduced. Overall, it was a disappointing experience, and I cannot recommend this course. Please, IBM, take the time to review and improve this course to ensure it meets the standards learners expect.

创建者 Srujan a

Mar 6, 2025

I think I paid too much for teacher just reading slides and from the teleprompter. No efforts in explaining numerical or logical part of the course. I could understand a bit because I already studied this in college. Very disappointed and not for beginners.

创建者 Hannan A

Feb 27, 2025

I have wasted my time and money. In this course an instructor just come and tell the topics name and nothing important (just waste your time). Its my advice to those who wanna join that please dont

创建者 Renan d B L

Jun 28, 2024

The instructor does not have good teaching skills, and the classes do not convey the knowledge intuitively. I recommend that students take the courses from DeepLearning.AI, as they are much better.

创建者 Emrah I B

Apr 16, 2024

its only a video showing how it works, there is so much stuff but we are not able to learn by doing instead we just need to listen and at after some time it gets boring and difficult to understand

创建者 spandan c

Dec 5, 2024

The audio in this course was corrupted, I went through a couple of modules and could not hear the details properly so had to discontinue.

创建者 Ibraheem M

Jul 7, 2025

concepts are too confusing. Just make it easier to grasp. too many 2nd hand terms that are inter related to other subjects.

创建者 Frederic G

Apr 2, 2025

There are so many ways to teach concepts and this one is among the most mediocre.

创建者 Sinan, A R

Sep 27, 2024

poor instructor. rushed material. the slides were low quality

创建者 Tuấn V A

Jan 8, 2025

i've got my coursera plus free trial but can not get cert

创建者 TEJAS T D

Apr 1, 2025

I did not receive my certificate of course completion