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Voltar para Exploratory Data Analysis for Machine Learning

Comentários e feedback de alunos de Exploratory Data Analysis for Machine Learning da instituição IBM Skills Network

4.6
estrelas
810 classificações

Sobre o curso

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....

Melhores avaliações

AE

26 de set de 2021

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

21 de set de 2021

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.

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126 — 150 de 195 Avaliações para o Exploratory Data Analysis for Machine Learning

por arsalan a

23 de out de 2021

Excellent Course

por DEBANJAN B

27 de jan de 2021

Awesome contend

por JUAN C J V

5 de jul de 2022

Muy buen curso

por Samiulhaq C

15 de mai de 2022

Great Course

por moses k

16 de mar de 2022

Great course

por RAHUL G

1 de jun de 2021

nice course!

por Nelson M

15 de dez de 2020

Eye opening!

por Lutvi A

3 de mar de 2022

v​ery nice!

por Soha S

1 de jan de 2022

​Thanks IBM

por Maxwell N

15 de set de 2020

Nice course

por Chanthalee X

12 de mai de 2022

very nice!

por Cui Y

13 de jan de 2022

Thank you!

por Sohan S V

4 de nov de 2020

osm course

por Rohit Y

11 de jul de 2022

Excellent

por ABHIJIT B

25 de jan de 2021

Very good

por Vitor R

24 de nov de 2020

Awesome!!

por Rohit K

14 de jan de 2021

good one

por Hariom K

18 de jan de 2022

Thanks

por Sathisha

3 de ago de 2021

got it

por DAVID R

27 de fev de 2022

goods

por William G G B

17 de jan de 2022

G​ood

por Ali A A

26 de out de 2020

great

por Sabina S

19 de out de 2021

Good

por Miguel B D S N

26 de jan de 2021

Nice

por RANDHEER S Y

11 de jul de 2022

ood