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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,540 ratings

About the Course

Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency....

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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926 - 950 of 2,878 Reviews for Machine Learning with Python

By Sarina K

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Nov 23, 2021

Interesting tasks and good instructions. Timelines appropriate.

By Manjiri S

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May 26, 2021

Very good starter for those who want to excel machine learning.

By Kim M

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Feb 5, 2021

A challenging and essential element of problem solving in Python

By Thilina P D G

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Feb 4, 2020

It has been an incredible journey so far! Thanks IBM & Coursera!

By Dipesh S

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Jan 30, 2020

thank you so much for this course, I really enjoyed this course.

By Jun Y

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Nov 24, 2019

Very detailed introduction of basic machine learning algorithms.

By ALFIYA K

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Aug 11, 2019

Huge thanks for creators, trainers and Coursera for this course!

By Juan S C O

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Nov 12, 2024

Muy completo el curso, y entornos para la practica de la teoria

By Carlos L

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Aug 10, 2024

Buen curso, con ejemplos paso a paso para aprender lo necesario

By Saurav S

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Oct 21, 2022

Great course for learning the fundamentals of Machine Learning

By Bernard O

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Jun 28, 2020

It was tremendously superb, and I enjoy every bit of the class.

By Dianna P

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May 12, 2020

Tests your knowledge and skills - good exercises and assignment

By Rajat B

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Mar 3, 2020

Great course with practical real-life machine learning examples

By ASIF I

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Feb 8, 2020

Very Good course who want to learn more about machine learning.

By Faizan A

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Sep 15, 2019

Wonderful course to learn several techniques and easy to follow

By Paul M

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Apr 16, 2024

Pretty good and solid knowledge. If I can do this - you too ;)

By N190475 S R F

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Nov 26, 2022

ireally enjoyed it....finallay i learned something importent..

By nora a

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Nov 10, 2021

Wonderful course! Learned alot about the different ML methods.

By Marwan K

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Sep 26, 2021

Thank you Coursera

Thank you IBM

Thank you to all instructors

By GOWRI S C 1 V C

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Jun 27, 2021

Very educational and informative course with projects to learn

By Balamurali A

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Dec 21, 2020

A good introduction to machine learning algorithms in general.

By Rahul C

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Aug 19, 2020

Amazing course with great theoretical and practical knowledge.

By Anjali Y

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Jun 27, 2020

I enjoyed the learning and quizzes helped me a lot in learning

By S M M

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Jun 16, 2020

Helped me a lot to clear my understanding of machine learning.

By George R

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May 24, 2020

Great introduction and a good foundation for further learning.