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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,341 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 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.

RC

Feb 6, 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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826 - 850 of 3,044 Reviews for Machine Learning with Python

By Dipta D

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Apr 21, 2020

This is awesome. I learned some model of Machine Learning . Thank you coursera.

By Ayushi T

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Apr 9, 2020

i am Thankful and Very Happy To Gain Knowledge From such a wonderful platform .

By Chaitali C

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Jan 5, 2020

Assignment part is tough but a great learning experience with hands on training

By Fernando W

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Jan 3, 2020

Very detailed, comprehensive review of machine learning methods. Great course!

By Thanh C D

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Jul 25, 2019

Amazing Course! Super informative. $39 is too little to pay for this knowledge!

By Asitha L K D M

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Jul 22, 2019

This is a really good introduction course for machine learning.Thanks Coursera.

By Glin Z

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Mar 5, 2019

Loved this course. Good for starting on hands-on into Data Science with Python.

By devendra d

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Jan 27, 2019

It is worth a time. I learnt a lot taking this course, really happy I did this.

By Lahiri

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Sep 24, 2024

It's been great taking this course and this course helped me improve my skills

By Naser J A

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May 12, 2024

Comprehensive course that covers vast mathematical topics in machine learning.

By KRANTEE J

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Dec 4, 2022

This course helped me to understand the concepts of ML algorithms from basics.

By Srinjoy G

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Oct 17, 2022

This is a very good course for the beginners trying to learn the ML concepts.

By Jim

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May 25, 2021

It is the best course.Practical data, nice way of teaching and good examples.

By Vaswati K

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Aug 25, 2020

This course will give you the proper insights of machine learning using python

By Rahul S

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Jul 8, 2020

Intuitions along with mathematics was really helpful to get it all. Thank you!

By Shreya S

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Jun 19, 2020

I just loved the way we were explained different topics in much efficient way!

By MD F I

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May 22, 2020

This is a great course to boost your Career and Education towards Data Science

By Baranitharan V

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May 20, 2020

Well structured course with perfectly writing coding examples to follow along.

By ABHIT K

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May 20, 2020

One of the best course on machine learning basics with a very good instructor.

By Hong W

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Apr 29, 2020

Give me an overview of machine learning popular methodology and key framework.

By Tejas P

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Feb 19, 2020

Excellent course to guide you through the basic techniques of machine learning

By Jorge A L R

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Sep 30, 2019

Excellent! An easy way to know and apply the main machine learning algorithms.

By JEFF M

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Sep 28, 2019

Awesome course infusing Python open source machine learning with IBM Watson AI

By Virendra K Y

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Oct 26, 2018

Thanks Courseera and IBM and Its instructor for its excellent course material

By Jaeoh S

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Mar 1, 2023

nice introduction to machine learning, not thorough but that's what I wanted.