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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
15,242 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.

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176 - 200 of 2,667 Reviews for Machine Learning with Python

By Yi Y

•

Oct 3, 2018

It is one of the best introduction course to Machine Learning.

The material is well explained to someone with a beginner level of understanding to Statistics and Machine Learning.

All the material is presented in a way that is easy to understand, without leaving out the details.

By Salman T

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Aug 26, 2021

One of the best course on Coursera so far. Instructors not only covered the theoretical side of the the course but also taught us how to implement various algorithms practically. I would definitely refer it to anyone who wants to start a career in the machine learning field.

By Deleted A

•

Mar 19, 2020

This course is a good chance to start python programming and reviewing ML concepts with deeper insights. I would suggest it for those who are familiar with ML and its algorithms. For those ones who want to start learning ML, it is better to take ML courses with Basic level.

By Deleted A

•

Mar 6, 2023

This course is great. Not only does it cover the main theories, but it also provides a full practical codes from instructors. The end-chapter quiz is well structured also, to deliver a complete check of the ML principles you have learned throughout the course. Thanks, IBM.

By Reza J

•

Oct 15, 2021

It was a great experience for me to start learning on Coursera with this course. I face with great tools, great learning methods, so I became interested in getting other courses of IBM in this field. thank you, Coursera, thank you, IBM and thank you dear Saeed Aghabozorgi.

By Omri

•

Nov 27, 2019

Great course, cover many important aspects of classical machine learning algorithms. The lectures are very focused and not tedious. Labs are excellent, and can serve as a starting point for every data science project in the future. I definitely recommend taking the course.

By Pankaj Z

•

May 3, 2020

This is one of the finest courses for anyone who wishes to transform his/her career into Machine Learning. It has optional external tool assignments after each chapter to help you understand and try out code and the concept. I would highly recommend this course to anyone.

By R o

•

Jan 13, 2022

Hello Dears,

This course was very great for me because it taught me a lot of practical projects.

I would like to express my special thanks to everyone who built the coursera site and teaches these courses and IBM company.

Thank you so much,

Kind regards,

Mohadeseh Emamipour

By Dominique D

•

Apr 16, 2020

If you put your heart to it, there is really a lot to learn in the course. The course touches quite some ML topics and gives a good introduction to it. I feel I got a whole new set of tools to use, and i am hungry to learn and experiment more.

Really enjoyed the course!

By Benedict A

•

Apr 1, 2020

The videos and labs were remarkable in that it was able to concisely communicated vast and complex information.

I did have to do additional research to fully understand and appreciate the material because I am not coming from a programming or statistical background.

By Toan L T

•

Oct 28, 2018

Great course.

Knowledge wise, just like Prof. Ng's, minus the mathematics foundation.

Practical wise, carefully designed labs really help learners understand the data cleaning processes, understanding data through visualization, ML algorithms and evaluation metrics.

By Agbasimere J F

•

Jan 14, 2021

The course was really great. You have the luxury to explore in-demand practical skills and apply them in fun ways. ML is applicable to the industries, and our lives. I've been blessed greatly by the expertise of the instructors to design a well-structured content.

By Roger T

•

Mar 28, 2020

It's a very precise and practical course. It focuses on the main ideas and application aspects of M.L., without drilling too deep into the math rationale behind.

To get the most from this course, it's good to equip yourself with basic knowledge in numpy and pandas.

By Ashish S

•

Sep 14, 2019

Can include more details. Every time I was more interested in a certain topic it mentioned it was out of the scope of this which was disappointing. I absolutely loved the teaching and would like to hear more to his lectures and sessions!

Amazing course. Thank you!

By Patrick W B

•

Feb 4, 2020

The lessons are very simple to understand with both logic intuition and mathematical explanations.

It is really the best course and beginner friendly.

I strongly recommend this course for anyone willing to start a career in Artificial Intelligence technologies.

By Victor A M B

•

Sep 17, 2019

Muy buen curso, se da información bastante relevante acerca de los algoritmos de Maching Learning. Debe tenerse en cuenta que después de este curso será necesario profundizar más en los diferentes algoritmos, pero en mi opinión esto se dará con mayor facilidad.

By Ravi P B

•

May 12, 2020

Excellent Course.Really enjoyed it.Covers details of lots of machine learning techniques and their implementation also.A nice way to start Machine learning.Instructors are fantastic.Even those who already know machine learning can learn a lot from this course.

By henry c

•

Sep 19, 2019

The course is not easy, but it is a lot of work with dedication and commitment to the management of platforms, if the concepts are very understandable and the laboratories are very didactic, thank you very much for sharing the information and thanks again ...

By Moez B

•

Feb 24, 2019

Excellent course on machine learning principles and various algorithms. It's a great start if you want to jump into the practical side of implementing ML using Python libraries, without getting too deep into the theory behind the most popular algorithms.

By Yiannis B

•

Jun 26, 2021

The requested Final Assignment was TOO difficult in regard to what was taught during the course. No objection to provide more material into the course to support the final assignment. It was of course a wonderfull course although a pain in the ... back!

By Chayan M

•

Jan 6, 2021

Good learning opportunity on ML using various data science modules in Python. The Labs are well defined using the Jupyter notebook platform. All in all great learning experience and would recommend the course to anyone aspiring towards ML data sciences.

By Tejal P

•

Jan 24, 2023

The course is excellent...but I got bored in week 4 a bit. Also have suggestions about the peer review assignments. If someone submitted the wrong or no notebook, after 1st question, it should not go to the next question. , it should direct to submit

By Victor A d S

•

Sep 4, 2022

Very well-structured explained, and intuitive course with many activities with real applications to practice the teachings. I can say that although I had some knowledge of machine learning, I honed my skills and learned new concepts during the course.

By Kiran S

•

Oct 14, 2020

Only concern is notebook should be user friendly and setting up the notebook and sharing should be straight forward. I did spend quite few hours how to set up those things . Over hall Course is good and loved it but need more exercises to practice

By yatish s

•

Jul 17, 2019

It was a very good course having atmost knowledge about the machine learning with the help of python libraries. I recommend this course to the freshers in machine learning field having good knowledge of python libraries like numpy, pandas and matplot.