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IBM 기술 네트워크의 Exploratory Data Analysis for Machine Learning 학습자 리뷰 및 피드백

4.6
별점
801개의 평가
189개의 리뷰

강좌 소개

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....

최상위 리뷰

AE

2021년 9월 26일

Very detailed course of Exploratory Data Analysis for Machine learning. Ready to take the next step in data science or Machine learning, this is great course for taking you to the next level.

ML

2021년 9월 21일

Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.

필터링 기준:

Exploratory Data Analysis for Machine Learning의 195개 리뷰 중 76~100

교육 기관: Pablo V

2022년 5월 13일

U​n solido curso que abarca lo necesario para preparar la data para modelar.

교육 기관: Pablo A M

2022년 5월 30일

The material and explanations are clear and help to understand the concepts

교육 기관: Kashapov A I

2021년 8월 3일

This is a very strong and informative course, I enjoyed taking this course!

교육 기관: Cihan K

2022년 6월 5일

It was a very useful training, thank you very much to the entire IBM team.

교육 기관: Honglei Z

2022년 4월 6일

informative and concise. The logic of this course is tight, and I like it

교육 기관: Aswin D

2021년 9월 9일

Very informative videos and had great experience learning the course.

교육 기관: GARVIT R

2022년 8월 4일

Very detailed and short course I learn basics of Machine learning.

교육 기관: KOUADIO A R

2021년 8월 4일

C​ette formation pour moi est la meilleure pour un Data Analyst !

교육 기관: Virgilio N

2022년 4월 23일

Great detail and explantion. Easy to follow. Highly recommended.

교육 기관: serkan m

2021년 4월 10일

This was a great journey for me. Thanks for this awesome course.

교육 기관: Eric N A

2022년 3월 6일

The instructor is very good and the instructions were fantastic

교육 기관: Andrian R

2021년 7월 6일

Aku suka ini, ini sangat jelas terima, kasih kepada instruktur

교육 기관: Marwan K

2021년 10월 31일

T​hank you Coursera

T​hank you IBM

T​hank you to all intructors

교육 기관: mehrdad s

2022년 7월 21일

this course is amazing .

I understand every thing

thanks lot

교육 기관: Gianluca P

2021년 3월 19일

Vry well organized. Explanations are clear and to the point.

교육 기관: Diego A

2021년 4월 30일

muy buen curso es ágil y muy educativo, además de practico

교육 기관: Pierluigi A

2020년 11월 9일

great course even for those who are not keen on coding

교육 기관: Bernard F

2020년 10월 29일

I acquired excellent knowledge on the subject matter

교육 기관: DEVANI R

2022년 3월 11일

this couse very east for understanding and usefull

교육 기관: Ali G A H

2022년 7월 5일

this is the best course i've take in this website

교육 기관: Sinan U

2021년 10월 9일

this course very helpfull for EDA techniques

교육 기관: Rorisang S

2021년 5월 1일

I loved this course. Not intimidating at all.

교육 기관: Sanjo S

2022년 6월 14일

It was really great and awesome. Enjoyed it!

교육 기관: Luong T H

2020년 12월 21일

I have learned a lots about Machine learning

교육 기관: Santiago D S

2021년 3월 30일

Nice approach to exploratory data analysis.