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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,707 ratings

About the Course

Python is one of the most widely used programming languages in machine learning (ML), and many ML job listings require it as a core skill. This course equips aspiring machine learning practitioners with essential Python skills that help them stand out to employers. Throughout the course, you’ll dive into core ML concepts and learn about the iterative nature of model development. With Python libraries like Scikit-learn, you’ll gain hands-on experience with tools used for real-world applications. Plus, you’ll build a foundation in statistical methods like linear and logistic regression. You’ll explore supervised learning techniques with libraries such as TensorFlow and Pandas, as well as classification methods like decision trees, KNN, and SVM, covering key concepts like the bias-variance tradeoff. The course also covers unsupervised learning, including clustering and dimensionality reduction. With guidance on model evaluation, tuning techniques, and practical projects in Jupyter Notebooks, you’ll gain the Python skills that power your ML journey. ENROLL TODAY to enhance your resume with in-demand expertise!...

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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301 - 325 of 2,909 Reviews for Machine Learning with Python

By Ilayaperumal K

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Dec 14, 2022

Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.

By Zohre J

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Jun 23, 2022

In order to get familiar with machine learning algorithms I would recommend this brilliant course!

Although I have finishid this course with grede near to 90%, I cannot get my certificate!!!!

By Hasina R

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Sep 5, 2021

This course just gave me substantial and valuable knowledge on ml algorithms and how to apply it using python. As a result, it was a benefiting journey for me. Thanks a lot for such a course.

By MALIKA O

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Feb 1, 2023

A very informative and fun course with hands on lab section to practice. I learned a lot from it. I highly recommend it. And do the final project, it's a good practice of all the algorithms.

By Munib A L

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Dec 8, 2020

The course was excellent. Instructors explained each and every topic well both theoretically and practically. Recommended for beginners who want to dive into machine learning using Python.

By Zaheer U R

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Jun 10, 2020

One of the best course I have come across. Every module was brilliant and taught so well. Thanks to coursera and IBM for such a lovely course. Special thanks to all the tutors and mentors.

By Ahmed M

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Mar 19, 2020

This course provided a solid platform for machine learning and I have thoroughly enjoyed every second of it. No regrets and I look forward to continuing with similar courses in the future.

By Mohammad A

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Jan 13, 2023

A great course for people who have PYTHON skills and want to move toward data science. I recommend this course, however I suggest that you take a PYTHON course before taking this course.

By Yashwanth A

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Jul 1, 2020

I Learned basic algorithms, error evaluation, analysis on various datasets. At the end of the course, I am confident to apply my knowledge to solve problems with the required algorithms.

By Yathish S

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Jun 8, 2020

well designed course... smooth. it is for beginners, gives a good basic grasp.. the exercises are the best, pretty painless to get up and running, easy to experiment (highly encourage)..

By Sagarjit D

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Aug 13, 2019

I have learned the basic concepts of different machine learning algorithms. Understood how to build a model using different dataset and how to predict and found out the insights of data.

By Eduard C

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Jul 18, 2019

Very interesting course, the final assignment is very good - it's a challenge, but it's covered in the course so one doesn't need to take another coursera course to pass it successfully.

By Nurullah K

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Oct 29, 2021

It is a well - designed course for understanding the ML fundamentals. It teaches you the main concepts and the lab notebooks are really supportive to try on the algorithms with pythons.

By Chandra B

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Dec 9, 2020

Good for data scientist who wanted to explore more in different classification algorithms along with evaluation matrix while developing the machine Learning Models or Predictive Models.

By Abhinav B

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Aug 26, 2019

Could you classify the users based on their demographics and educational standards and predict the rating they would provide :). I will love to see the results or help write the code ..

By Srilekhya P

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Jan 1, 2020

The lecture videos are minimal and also defines the machine algorithms without ambiguity.

The hands-on project was interesting to apply Classification algorithms on Jupyter Notebook.

By Himanshu D

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Apr 5, 2020

It was an excellent course for beginners. However, I just like to add one thing here, please take mandatory comments from the reviewer why the deduction in the points they are doing.

By Kevin D

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Nov 6, 2019

This is one of the more challenging courses. You need to pay attention and review the material. The project will require some additional thought beyond just parroting the material

By Manu M

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Dec 5, 2024

I enjoyed this course. The talks are very well structured and clearly define outcomes and tasks. I also enjoyed the explanation of the mathematical content and the practical used.

By Davuth D

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Sep 20, 2023

It is good to learn this course and it help me in term of analysis and predicting by using some machine learning . It is very comfortable to my time so I can learn when I am free.

By Vijayanandh U

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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

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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

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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

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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

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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.