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Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM

4.6
stars
1,867 ratings

About the Course

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....

Top reviews

AE

Sep 26, 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

Sep 21, 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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376 - 386 of 386 Reviews for Exploratory Data Analysis for Machine Learning

By basilis s

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Apr 8, 2024

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

By Yazan K

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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

By Arshad R

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Jul 9, 2024

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

By Shahbaz A K

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Oct 5, 2023

Does not cover basics in depth or with any clarity.

By Carlos M

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Jun 6, 2024

Se explica con poca profundidad cada tema

By HAMZAH A

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Dec 27, 2022

Not explained very well

By Renan d B L

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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.

By Emrah I B

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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

By Sinan, A R

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Sep 27, 2024

poor instructor. rushed material. the slides were low quality

By MARILIA F

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Aug 4, 2023

ainda não entendi o que é machine learning

By Lawrence P

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May 6, 2024

need case studies