Chevron Left
Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,810 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 Matplotlib 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

RC

Feb 7, 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.

FO

Oct 9, 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.

Filter by:

451 - 475 of 2,926 Reviews for Machine Learning with Python

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 Rusvel J M S M

•

Aug 30, 2024

un curso introductorio, un poco superficial pero considero que es muy bueno si estas dando tus primeros pasos en el mundo de los datos.

By Shivam P

•

Jul 29, 2024

this course is good for intermediate student which have basic knowledge about python libraries and to aware with c++ and java languages

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.

By Hernán C

•

Mar 3, 2020

El contenido del curso es muy didáctico, no es el primer curso que hago sobre machine learning y hasta ahora me pareció de los mejores.

By Olga S

•

Sep 15, 2021

Quite usefull course. Giving nice explanations of the main concepts. Also, I like the amount of practical labs. So, you learn and try.

By Mauricio R O

•

Apr 27, 2020

Excelente curso. Contribuye en gran medida al entendimiento de diferentes algoritmos de ML y por consiguiente algunos de sus alcances.

By Muhammad F R

•

Apr 26, 2023

This course is great for a high level introduction to machine learning and basics of supervised and unsupervised learning algorithms.

By Yehualashet M A

•

Nov 9, 2021

The course is very interesting with numerous hands-on project that greatly help to improve machine learning programming using python.

By Mengdi Z

•

Aug 17, 2024

This course is very easy to understand and have a general view of several methods in ML . The notebook is easy to run on the cloud .

By Matt M

•

Sep 4, 2020

Overall great course. Some disconnects between the IBM platform and the example. Otherwise good course with practical application.

By fidaali b

•

Dec 1, 2022

The best course with all the basic concepts of machine learning especially the implementations is very helpful. Highly recommended.

By Vijay K

•

Feb 4, 2021

I was completely a new born baby in this area and this course taught me everything that needed to start my carrier in data science.

By Rupesh

•

Aug 13, 2020

This Machine Learning with Python is one of the best course with lot of explanation and examples, students learn lot of new things.

By Lee J J

•

May 26, 2023

Some of the reading page unable to load with Firefox. Also, peer reviewing page unable to load correctly with Firefox and Chrome.

By Mohammadreza R

•

Feb 22, 2023

Fantastic course, excellent explanation in videos and very functional and practical quizzes, assignments, and wonderful lab pages.

By SaadEddine L

•

Apr 26, 2021

Very good course, I recommend it for anyone who wants to discover machine learning. Don't forget to practice, especially the labs.

By RICARDO H R

•

Jul 4, 2020

I really liked this course, the videos are well done and the exercises perfect, it gives you the chance to go as deep as you want.