Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

16,422 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

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.

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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901 - 925 of 2,861 Reviews for Machine Learning with Python

By Pravin K

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Jun 24, 2020

Helped a lot in getting a better understanding of Machine Learning

By Lautaro P

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Jun 19, 2020

Great for initiate in ML skills. Very coloquial and well explained

By Vitor A

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Jun 3, 2020

Excellent content, good to start using the ML libraries of python.

By Edward M

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May 7, 2019

more practice and in-depth tutorials would be better for beginners

By Bakyt N

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Feb 19, 2019

A great introduction to Machine Learning with Python. Thank you!!!

By Phan M P

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Jul 23, 2024

Great content for beginner level jumping in Machine Learning area

By Paul C

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Aug 24, 2023

Very good coverage of the basics of Machine Learning with Python.

By David N

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Dec 21, 2022

It is a very good course to start your career in machine learning

By Sukriti G

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Mar 12, 2022

the certificates are unavailable also after completing the course

By Song W

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Jan 18, 2022

Highly recommended course for those learning Machine Learning !!!

By Barnaby D

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Nov 2, 2021

Best course in the IBM Data Science Professional Specialisation!

By Angel R A

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Jul 11, 2021

Great balance between theory and practice. A nice path to follow.

By Satish V

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Aug 23, 2020

Very good course. All the essential topics are covered very well.

By Muthu M H

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Feb 4, 2020

Great course to learn Machine Learning. The labs were phenomenal.

By Pilar L

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Aug 28, 2019

Very clear and useful. A lot of information, very well explained.

By Muhammad A A

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Jul 5, 2023

The best course to learn the modules regarding machine learning.

By Gustavo A M C

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Jan 2, 2023

It is a very complete course on ML in Python. Highly recommended

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