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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,335 ratings

About the Course

Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomial, and logistic regression. Then move into supervised models such as decision trees, K-Nearest Neighbors, and support vector machines. You’ll also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you’ll practice model evaluation, cross-validation, regularization, and pipeline optimization. A final project on rainfall prediction and a course-wide exam will help you apply and reinforce your skills. Enroll now to start building machine learning models with confidence using Python....

Top reviews

FO

Oct 9, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

RC

Feb 7, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

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2851 - 2875 of 3,040 Reviews for Machine Learning with Python

By Karan S

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Aug 20, 2024

it was good theoretically, but have could have been better in practical learning.

By Asavari P

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Feb 26, 2021

Good learning, but very fast paced. A little more practice assignments would help

By shankar p

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May 28, 2020

Watson Studio was not enough explained. extremely difficult to work on it.

By Jayesh M

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Jan 27, 2020

Too complex course, some one will do not understand many things out of it.

By Jofre T C

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Aug 5, 2024

I have ended the course with Honors and is not visible on my certificate

By Abdulwahab A

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Apr 3, 2020

Was not easy to use the code on my local machine.

I was using spyder IDE

By VRS

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Jul 25, 2019

Should be an extensive course.The coding part should be explained more.

By Scott M

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Dec 7, 2020

Course content was good however the final assignment was confusing.

By Dani S P

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Mar 7, 2025

Some materials contain errors, and the libraries are bit outdated.

By UWIMANA L

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Jun 17, 2024

I liked the course, but at times, I felt like I had less practice.

By Madhurima M

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May 20, 2020

Lab works are not well explained. Otherwise, it's a great course.

By Chen Y

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Mar 27, 2019

The lectures that are longer than 5 minutes are hard to tolerate.

By Rangappa N

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Feb 28, 2019

Programming works need to be added,Quiz need to graded for free

By Nijatullah M

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May 8, 2021

instead of implementing the algorithm more explanation on math

By Abd-Elrhman M (

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Jul 5, 2020

everything was out of scope it was just a brief of every thing

By intissar b

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Nov 18, 2024

I completed all the module which I doesn't take a certificate

By Aravind P

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Jun 12, 2020

Theory part was awesome. But not much of practical knowledge

By Stefan A

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Jun 6, 2020

Lab is working bad so a lot of time is waisted with waiting.

By Muhammad A

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Jan 22, 2025

Very limited knowledge regarding multiclass classification

By Ahmed A

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Oct 21, 2024

you better spend more time on teaching how to write codes!

By Sean G

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Jan 22, 2023

Many labs in Jupiter Lab portal did not work correctly.

By Shamik K

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Jan 2, 2021

It will help to add more clarity on the final exercise.

By Ramsrinivas A

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Jan 17, 2020

Theoretical portion was shallow compared to Lab portion

By Hunter I

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Apr 21, 2020

Learned a little bit, want more real world application

By Oana L

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Jan 28, 2021

Course is quite good but very basic not intermediate.