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学生对 IBM 提供的 Exploratory Data Analysis for Machine Learning 的评价和反馈

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2,458 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

HV

Nov 10, 2024

With my background on probability and statistics, I think this is a good course, where it can help me apply what i have learned. Not recommend for any one who hasn't taken a statistics course before.

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.

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426 - Exploratory Data Analysis for Machine Learning 的 450 个评论（共 502 个）

创建者 Vu T T

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Jun 22, 2023

It's a bit difficult to understand

创建者 Chandan K G

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Jul 19, 2021

It was nice learning experience.

创建者 Soumyadip C

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Mar 9, 2024

project submission is difficult

创建者 Aryan T

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Sep 28, 2024

Please elaborate the labs more

创建者 Harsh Y

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Aug 4, 2023

the course is very helpful..

创建者 Shubarani S

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Mar 23, 2024

Its a fantastic platform

创建者 IOVACCHINI F

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Aug 2, 2023

well explained subjects.

创建者 OMAR A A H

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Nov 1, 2020

Very well structured

创建者 Karine T

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Aug 5, 2025

Tres instructif

创建者 Pampa D

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Apr 17, 2022

Good content.

创建者 Harsh P

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Oct 21, 2023

informative

创建者 Agnibha D R

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Apr 30, 2023

NIce Course

创建者 ADAM F

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Oct 23, 2025

good cours

创建者 Gurung K (

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Sep 21, 2024

Buckle up!

创建者 BHANDERI P C

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Jul 26, 2025

good !

创建者 Gautam k

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Nov 23, 2024

good

创建者 AISHWARYA R

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Nov 15, 2024

good

创建者 VAKA C

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Nov 1, 2024

good

创建者 Venkadesh R

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Sep 2, 2024

GOOD

创建者 Ramesha G N

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Jul 23, 2024

good

创建者 PATEL A S

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Aug 6, 2023

goog

创建者 Raven M

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Aug 1, 2025

goo

创建者 Disha R

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Apr 15, 2024

wow

创建者 PATEL A N

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Jun 9, 2025

hi

创建者 Gert-Jan D

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Jul 29, 2022

Potentially this is a great course, but it falls short on a number of points.

* Content is mixed and/or duplicated

* Lab exercises are mostly just demo's. The video's 'explain' no more than you can read in the notebooks.

* The videos show a 'talking head' that is clearly reading the text from a screen. Not very engaging.

* The explanations are not very clear.

It is possible to learn from this course, but then you will have to work on the demo's yourself (deleting the answers first) and read more clear explanations on the topics from other sources.