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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,154 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

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.

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.

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451 - 475 of 3,001 Reviews for Machine Learning with Python

By RICHARD D

Feb 12, 2020

This Is One of the best Course In Machine learning so far. Tutorial Very Brief and practical. Very interactive lab. Thanks to Coursera and IBM.

By Tareq A

Mar 30, 2019

Really its fully rich course, explains every aspect of machine learning algorithms and their implementation in Python Language.

Thank You at all

By Ssentumbwe E

Apr 17, 2020

The first time I tried to learn machine learning, it scared me. This course made is the best introduction to the subject that I have ever got.

By Victor B D

Apr 2, 2020

this was one of the most difficult courses I took and it was very worth all the content and very good and the exercises are very well prepared

By Robert

Feb 7, 2020

An excellent course, covering multiple machine learning algorithms which allow you to compare and contrast their strengths and methodologies.

By Gil D L

Jun 18, 2020

The final assignment is a bit unclear with grading but overall great course. Learned a lot with the applications of python in data analysis.

By Aneta B

May 2, 2020

The course is an excellent introduction to Machine Learning. It is balanced in terms of theory and practice, and the workload is manageable.

By Philippe D

Oct 21, 2019

Very informative course. The lectures were very professional and the structure of the course and the notebooks were all very well presented.

By Amber P R

May 20, 2019

A good course designed nicely and recommended for beginners as it is very easy to understand and practical assignments are really effective.

By Gary T

May 6, 2019

This course changed my life and view about Python and Data Analytics. I wish everyone could take this course. Grateful to IBM and Coursera.

By Yuchen Y

Nov 3, 2024

From basic to implement, with knowledge and real dataset and algorithms. not only tell us the ideas, but also help us coding and training.

By nithya v

Apr 5, 2023

ML concepts and Algorithms are explained nicely and was easy to understand. Very helpful course to understand ML and statistics behind it.

By Luka M

Sep 9, 2022

This course provides everything I expected. Python notebooks are full of quality examples with interesting plotting techniques to learn.

By Shayan k

Aug 6, 2021

This is a well designed course covers almost all basic concepts of machine learning (supervise and unsupervised) using python programming.

By Julian A

Jan 7, 2021

T0-the-point course with sufficient practical examples and explanations to enable easy learning and implementation in real life scenarios.

By Dhiraj K

Oct 1, 2019

One of the best course for learning Machine Learning basics.

Amazing instructor, good syllabus and labs. With interesting final assignment.

By AVADH P

Jan 7, 2019

Very well for beginners. This course gives a great insight to the new learners on how to implement machine learning algorithms in Python.

By Anuar M

Mar 22, 2020

Excellent class for machine learning beginner. Lots of insight on the ML algorithms and what problem does the algorithms used to solve.

By Rusvel J M S M

Aug 30, 2024

un curso introductorio, un poco superficial pero considero que es muy bueno si estas dando tus primeros pasos en el mundo de los datos.

By Shivam P

Jul 29, 2024

this course is good for intermediate student which have basic knowledge about python libraries and to aware with c++ and java languages

By Saad R

Apr 2, 2023

I really loved this course as it felt challenging and informative. The course was packed with so much knowledge. Loved every bit of it.

By Hamna M

Jul 26, 2022

It is really a good course, simple and easy to understand, the projects and quizes are good as well, for better knowledge and learning.

By Hernán C

Mar 3, 2020

El contenido del curso es muy didáctico, no es el primer curso que hago sobre machine learning y hasta ahora me pareció de los mejores.

By Olga S

Sep 15, 2021

Quite usefull course. Giving nice explanations of the main concepts. Also, I like the amount of practical labs. So, you learn and try.

By Mauricio R O

Apr 27, 2020

Excelente curso. Contribuye en gran medida al entendimiento de diferentes algoritmos de ML y por consiguiente algunos de sus alcances.