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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,540 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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326 - 350 of 2,878 Reviews for Machine Learning with Python

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

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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

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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

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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

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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

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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 RODRIGUE M

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Oct 6, 2024

Ce cours est très bien expliqué. Il m'a permis de mieux comprendre comment et quel algorithmes devrais-je étudier pour chaque type de proble rencontrer en machine learning.

By Savitri

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.

By R A O F

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Oct 18, 2020

It's a very good course. It's the best course that i've taken about machine learning introdution and i love all the content explained inside and the practices with labs.

By anubhavbbd

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Apr 25, 2020

More than learning I seriously enjoyed the way our instructor taught .Gotta chance to learn many algorithms in a efficient way . A big thanks to Saeed Sir and Joseph Sir

By Sarthak A

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Mar 22, 2020

One of the best courses for Gaining new skill's in Python.Also the Project provided at the end of the course allows us to test the skills we have learned in the course.

By Clara P

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Jan 26, 2020

This course has taught me valuable skills on Machine Learning algorithms, as well as hands-on experience with the labs provided in the course. I definitely recommend it!

By Gaelan G

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Feb 19, 2021

The training on this actually really well explained. I'm coming from Kaggle.com modules and this material is really adding an extra layer. Thank you Coursera and IBM.

By Girjesh K

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Jul 5, 2020

Great working environment and proper guidance is provided in this course and definitely made me go into more details for Machine learning Programming and Python coding.

By Nikhil J

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Apr 22, 2020

Awesome course. Great introduction. And for the first time, I didn't have to take screenshots individually for every question and upload for the peer assignment. Great!

By Mann P

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Aug 22, 2019

A very good course for learners who are interested in ML but do not have a good mathematical background. Overall, a complete starter ML course. You should enjoy it. :)