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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,829 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 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 2,931 Reviews for Machine Learning with Python

By Mohammad R A

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May 6, 2021

I have learned very much during this course, thank you very much!!

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 Santiago A R G

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Jan 16, 2025

It's a very good introduction to Machine learning world in Pyhton

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.