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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,396 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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2426 - 2450 of 3,054 Reviews for Machine Learning with Python

By Bala M

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Sep 18, 2019

Excellent course explaining all the essential details to kick of the ML journey using Python.

By Lovish G

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Apr 26, 2024

Difficult to understand for a Non-mathematical student. Overall a great learning experience.

By Neil C

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Aug 30, 2020

It was a good course but the final exam could do with more structure around what is expected

By Urs H

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Jun 30, 2019

Comprehensive, good to understand, minor errors in the description of the final assignḿent.

By Alex L

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Oct 19, 2022

Very eductational as a intro to machine learning - wish the homeworks were more difficult

By rk s

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Feb 21, 2022

the final peer review quiz was too difficult, should have included more practice exercises

By Ciniso M

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May 25, 2021

This course is very fruitful and it's instructors are awesome. Thank you ÌÇÐÄvlog¹ÙÍø¹Û¿´ and IBM.

By Mitanshi K

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Apr 30, 2020

Great for beginners. Explains theoretical concepts well but lags on the coding part of it.

By Vinit K S

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Apr 8, 2020

It is such a vast topic, It would have really been great if there were few more exercises.

By Ritesh P

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Dec 5, 2023

Random Forest, XGBoost etc should have been there. Decision tree explanation was amazing.

By Daniel J B O

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May 27, 2020

A little bit to basic for someone who studied the topics in the past but a good refresher

By Mauricio C

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Jul 11, 2024

Hace falta que se explique mas los cuadernos de laboratorio para entender mas la teoria

By Rubén G

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May 30, 2020

I recommend including more examples and documentation of the metrics in the algorithms.

By Aldy P

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May 29, 2020

This course didn't help Much for a beginner. But overall worth to try. Thanks ÌÇÐÄvlog¹ÙÍø¹Û¿´!

By Asanka W

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Aug 23, 2022

Good course great explanation, but i had issues with practicles overal course is great

By Stefanos S

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Dec 18, 2020

If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.

By Sudhir S

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Dec 3, 2018

More videos would have helped to understand concepts of subject better to apply in lab

By Sanjiv S

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Apr 24, 2025

I'm very satisfied with this specialization course. I upgraded my skills in AI and ML

By Robert F

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Aug 3, 2020

The final test portion was a little rough. Finally got the test to work successfully.

By anas m r

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Aug 3, 2020

A great introduction for ML, but you have to exert effort to understand the lab codes

By Meijuan Z

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Mar 23, 2020

Should include more details of ML algorithm, but is nice to people who are new to ML.

By Ammar S

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Sep 2, 2024

Overall is good. Maybe improvement in terms of simple introduction to deep learning.

By Sadabrata K

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Mar 23, 2020

Random Forest Classifier is not included. Everything else is very good. Nice course.

By Devraj S

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May 1, 2020

It will be more helpful if this course has a more detailed explanation of the codes

By Eden P

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Apr 12, 2020

Really enjoyed this one. Quite challenging in places however rewarding nonetheless.