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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
2,541 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

AK

Jul 17, 2025

More example in simplified way could help new learner to understand. Overall I really like this course. This help us to crack some of good area where I need to re-work .

BD

Apr 23, 2024

The course includes hands-on exercises that allows us to apply the learned EDA techniques to real-world data. This practical approach helps solidify my understanding.

筛选依据:

501 - Exploratory Data Analysis for Machine Learning 的 515 个评论(共 515 个)

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

创建者 MARILIA F

Aug 4, 2023

ainda não entendi o que é machine learning

创建者 Lawrence P

May 6, 2024

need case studies