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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,798 ratings

About the Course

Python is one of the most widely used programming languages in machine learning (ML), and many ML job listings require it as a core skill. This course equips aspiring machine learning practitioners with essential Python skills that help them stand out to employers. Throughout the course, you’ll dive into core ML concepts and learn about the iterative nature of model development. With Python libraries like Scikit-learn, you’ll gain hands-on experience with tools used for real-world applications. Plus, you’ll build a foundation in statistical methods like linear and logistic regression. You’ll explore supervised learning techniques with libraries such as Matplotlib and Pandas, as well as classification methods like decision trees, KNN, and SVM, covering key concepts like the bias-variance tradeoff. The course also covers unsupervised learning, including clustering and dimensionality reduction. With guidance on model evaluation, tuning techniques, and practical projects in Jupyter Notebooks, you’ll gain the Python skills that power your ML journey. ENROLL TODAY to enhance your resume with in-demand expertise!...

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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2426 - 2450 of 2,925 Reviews for Machine Learning with Python

By Antonio B O

•

Jan 22, 2025

great and fast overview. The labs are also pretty useful

By Arriouach M

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Apr 19, 2024

Good experience, I have learned, more skills about ML.

By MOHIT Y

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Oct 18, 2021

If You are a beginner then don't start with this course.

By Jan J Y

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May 19, 2021

Some issues with importing libraries using the notebooks

By Brendan W

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Apr 8, 2020

Excellent course, lots of typos in the lab instructions.

By AVIJIT S G

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Sep 2, 2024

Great But Not the Best. But still better than the rest.

By Kshitij G

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Nov 16, 2021

Good Intro of ML algorithms for beginners/intermediates

By Thomas

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Jun 26, 2020

This is a good course I wished it was more challenging.

By Abdul M A

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May 14, 2019

very good lecture but not detailing notes to back it up

By Agrim R

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Jun 27, 2022

please provide vedios for python code explanation also

By VISHAL P

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Jul 27, 2020

this course was amazing for statistical field student

By Jayant D

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Jul 29, 2019

Explanation is good but code practice could be better.

By micheal k

•

Feb 14, 2023

great course

although short, many things are discussed

By Javier G R

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Apr 10, 2023

I would like some bibliography for deeper knowledge.

By Rafael M S

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Feb 14, 2023

Very good courser but some videos are too much long.

By NANDINI J 2

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Jan 21, 2023

The course is well-arranged. Perfect for beginners.

By Penumarthi S R

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May 24, 2020

I would highly recommend people to take this course.

By Mohammad P

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Feb 1, 2023

Great content and hands on lab to grasp the concept

By Vithushan V

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Jun 19, 2022

Very Good Course. I really enjoy my final project.

By Pokkunuri S C

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Nov 28, 2019

All the videos and practice exercises are wonderful

By Hassan B

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Oct 22, 2019

I enjoyed this course. It contains a great content.

By Zach H

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Feb 25, 2024

Could use more extension materials/further reading

By هاني ا

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Feb 20, 2022

Some video need to be updted , else its v.good

By Rafi O

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Jun 22, 2020

Great course. Some errors need to be fixed though.

By Benjamin L

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Oct 30, 2019

The final assignment was not as good as I expected