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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,314 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

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.

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.

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426 - 450 of 2,830 Reviews for Machine Learning with Python

By Gil D L

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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

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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

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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

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May 19, 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

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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 nithya v

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Apr 26, 2020

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

By Muhammad F R

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Apr 26, 2023

This course is great for a high level introduction to machine learning and basics of supervised and unsupervised learning algorithms.

By Yehualashet M A

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Nov 9, 2021

The course is very interesting with numerous hands-on project that greatly help to improve machine learning programming using python.

By Mengdi Z

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Aug 17, 2024

This course is very easy to understand and have a general view of several methods in ML . The notebook is easy to run on the cloud .

By Matt M

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Sep 4, 2020

Overall great course. Some disconnects between the IBM platform and the example. Otherwise good course with practical application.

By fidaali b

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Dec 1, 2022

The best course with all the basic concepts of machine learning especially the implementations is very helpful. Highly recommended.

By Vijay K

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Feb 4, 2021

I was completely a new born baby in this area and this course taught me everything that needed to start my carrier in data science.