Chevron Left
Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
15,281 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.

Filter by:

301 - 325 of 2,670 Reviews for Machine Learning with Python

By Vijayanandh U

•

Jan 3, 2021

Good and broad explanation of popular machine learning algorithms. The mathematical side of each algorithm should be learned outside of the course for more in-depth understanding.

By KOPPARTI S S

•

Dec 17, 2019

Very useful course to kick start machine learning. It helped me to understand the basics along with coding part of machine learning clearly. I recommend this course for beginners.

By Karina A , S M 1

•

May 10, 2020

I'm so delighted to have this lesson with Coursera. The instructor could explain the material clearly. Then we can keep the video to review it again and again. Thank you so much.

By Dayli S

•

Apr 30, 2020

Tons of information in just one course. I really like it, but it would be great if there are further courses from IBM to further deepen the knowledge acquired during this course.

By Carlos J B A

•

Feb 17, 2019

A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.

By Abhishta G

•

May 10, 2023

Your explanations are clear and left many students happy, though you could provide a link to the extra learning materials of algorithms to have a similar reference of knowledge.

By Krishna S

•

Jun 20, 2020

Excellent course for someone who needs to get a breif of ML and start implementing it. Significant information provided in short span of time in very crisp and efficient manner.

By Hunter W

•

Nov 25, 2022

A good introduction to basic ML algorithms, but does not cover deep learning models (there are other courses for this). Assumes a reasonable amount of familiarity with Python.

By Athanasios L

•

Sep 27, 2021

This course is a great starter for those who want to learn the basics of Machine Learning and also gain experience on Python ML libraries by using them with real-life examples.

By Lúcia M

•

Jul 3, 2021

Excellent course! The materials are incredibly well-explained, and this is a great introduction to Machine Learning. I felt motivated and felt that I 've learned a great deal.

By VARDHAN P

•

May 15, 2020

The course structure was phenomenal . Every concept was covered very deeply yet in very simpler way. Loved the way the instructor Saeed Aghabozorghi Sir explained the concepts.

By Frida J

•

May 1, 2020

Fantastic course! Really enjoyed the videos, and the quizzes were good. The labs were absolutely amazing, can definitely use these as a good base going forward in my projects!

By Jennifer B

•

Mar 19, 2020

One of the better of the IBM courses. The videos are excellent, with the presenter doing a great job of explaining how the algorithm works rather than just what code to write.

By Frank N

•

Dec 2, 2020

The course was great and I think it would be better to add more lessons on visualization, on how to acquire and seek for data, and how to use other files (not only csv ones).

By Madhav M

•

May 2, 2020

Excellent course who are new to the field of Machine Learning and also who are good at it , it covers basics of ML then types of ML algorithms and you also have hands on labs

By Savitri

•

May 19, 2020

The over all learning experience is really satisfying, one of the best course i have learnt from Coursera,

Thanks to Coursera !

Thanks to IBM !

For providing wonder full course

By Karen M

•

Jan 30, 2020

Learned a lot about several types of machine learning and ways to test the different models. Some frustration that the final project instructions were not completely clear.

By Mark H

•

Mar 15, 2019

Excellent course and material is covered well! One complaint is that it would be nice to know what could be expected for model accuracy so we don't try too hard to optimize.

By ARKAPRAVA S

•

Jan 15, 2022

This is a very good course, short yet informative videos by the instructors helped me a lot. This is a very good course for begineers who are looking to learn from scratch

By Jesus C

•

Jun 9, 2020

It is a good start for ML with python. Give you a general description of each algorithm and show you the high level implementations using scikit learn in jupyter notebooks.

By Sean R

•

Oct 12, 2019

The final assignment was challenging in a good way. It would have been nice to have more opportunities to practice in the labs to better prepare for the assignment though.

By Eleni K

•

May 19, 2019

The most challenging and at the same time interesting and satisfying course in the Professional certificate group of courses! I can't wait to use what I learned in action.

By Angel C

•

Aug 6, 2021

The course is didactic, with information necessary without overloading content, have a good practical component, in general, it has a good bases to learn machine learning

By Jorge A C C

•

Mar 3, 2020

Muy bueno, los temas son interesante y muy bien presentados. Igualmente se recomienda tener ciertas bases en estadistica y operaciones con vectores para entenderlo mejor.

By Sheen D

•

Aug 15, 2019

I enjoyed learning this course way more than the previous courses. The instructor was very clear on the topics. The lab sessions highly promote different techniques used.