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:

401 - 425 of 2,670 Reviews for Machine Learning with Python

By Amrizal S D b A S

Jun 4, 2023

Really really good training and notes and the speaker are very good at explaining these topics. Recommended that others try to seek this course.

By Анастасия Л

Apr 22, 2022

Probably the best course in the specialization. I really enjoyed the labs. A lot of useful information. Many thanks to the authors of the course

By Manuel T

Jan 9, 2021

Great introduction to Machine Learning algorithms. Hands-on labs are perfect to see them in action and the whole content is very well explained.

By Sundas L

Jun 15, 2020

I would recommend data science enthusiasts to take this course. I got a deep understanding of machine learning by working on real-life datasets.

By Georgios L

May 3, 2020

This is the best course in the IBM Data Science series, the course teacher is very good in communicating principles and explaining what matters.

By Phạm T S

Sep 7, 2019

This course is great, helping me master the knowledge regarding algorithms in machine learning.

Thank you very much Professor SAEED AGHABOZORGI.

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 V D

Apr 1, 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 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

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

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 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.