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Opiniones y comentarios de aprendices correspondientes a Exploratory Data Analysis for Machine Learning por parte de Habilidades en redes de IBM

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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....

Principales reseñas


26 de sep. 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.


21 de sep. 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, would be better further.

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151 - 175 de 234 revisiones para Exploratory Data Analysis for Machine Learning

por JUAN C J V

5 de jul. de 2022

Muy buen curso

por Syed H H

6 de oct. de 2022

Nice Teacher

por Samiulhaq C

15 de may. de 2022

Great Course

por moses k

16 de mar. de 2022

Great course


1 de jun. de 2021

nice course!

por Nelson M

15 de dic. de 2020

Eye opening!

por Lutvi A

3 de mar. de 2022

very nice!

por Soha S

1 de ene. de 2022

Thanks IBM

por Maxwell N

15 de sep. de 2020

Nice course

por Paola L S

2 de dic. de 2022


por Chanthalee X

12 de may. de 2022

very nice!

por Cui Y

13 de ene. de 2022

Thank you!

por Sohan S V

4 de nov. de 2020

osm course

por Molini U

18 de ene. de 2023


por Sri A K

30 de oct. de 2022

Loved it

por Rohit Y

11 de jul. de 2022



25 de ene. de 2021

Very good

por Vitor R

24 de nov. de 2020


por Rohit K

14 de ene. de 2021

good one

por Hariom K

18 de ene. de 2022


por Sathisha

3 de ago. de 2021

got it


27 de feb. de 2022


por William G G B

17 de ene. de 2022


por Ali A A

26 de oct. de 2020



4 de feb. de 2023