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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,901 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

RV

Jan 14, 2025

good course , some part is typical more statistical part shown, even i have good understanding of ML , so new learner will find little typical. rest tutor voice and language is understandable.

FO

Oct 8, 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.

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2976 - 3000 of 3,176 Reviews for Machine Learning with Python

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 24, 2019

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

By Scott M

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Dec 6, 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 4, 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 16, 2020

Theoretical portion was shallow compared to Lab portion

By Hunter I

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Apr 20, 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.

By SHAONI C

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Dec 2, 2019

needs more clarification on classification algorithm

By lorenzo a

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Feb 12, 2020

soooo many typoes and small mistakes in this course