Chevron Left
Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,798 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

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.

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.

Filter by:

2326 - 2350 of 2,925 Reviews for Machine Learning with Python

By Alex L

•

Oct 18, 2022

Very eductational as a intro to machine learning - wish the homeworks were more difficult

By rk s

•

Feb 21, 2022

the final peer review quiz was too difficult, should have included more practice exercises

By Ciniso M

•

May 25, 2021

This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.

By Mitanshi K

•

Apr 30, 2020

Great for beginners. Explains theoretical concepts well but lags on the coding part of it.

By Vinit K S

•

Apr 8, 2020

It is such a vast topic, It would have really been great if there were few more exercises.

By Ritesh P

•

Dec 5, 2023

Random Forest, XGBoost etc should have been there. Decision tree explanation was amazing.

By Daniel J B O

•

May 27, 2020

A little bit to basic for someone who studied the topics in the past but a good refresher

By Mauricio C

•

Jul 11, 2024

Hace falta que se explique mas los cuadernos de laboratorio para entender mas la teoria

By Rubén G

•

May 30, 2020

I recommend including more examples and documentation of the metrics in the algorithms.

By Aldy P

•

May 29, 2020

This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!

By Asanka W

•

Aug 23, 2022

Good course great explanation, but i had issues with practicles overal course is great

By Stefanos S

•

Dec 18, 2020

If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.

By Sudhir S

•

Dec 2, 2018

More videos would have helped to understand concepts of subject better to apply in lab

By Robert F

•

Aug 3, 2020

The final test portion was a little rough. Finally got the test to work successfully.

By anas m r

•

Aug 2, 2020

A great introduction for ML, but you have to exert effort to understand the lab codes

By Meijuan Z

•

Mar 22, 2020

Should include more details of ML algorithm, but is nice to people who are new to ML.

By Ammar S

•

Sep 2, 2024

Overall is good. Maybe improvement in terms of simple introduction to deep learning.

By Sadabrata K

•

Mar 22, 2020

Random Forest Classifier is not included. Everything else is very good. Nice course.

By Devraj S

•

May 1, 2020

It will be more helpful if this course has a more detailed explanation of the codes

By Eden P

•

Apr 11, 2020

Really enjoyed this one. Quite challenging in places however rewarding nonetheless.

By HUSENI N G

•

Mar 19, 2020

VERY GOOD SYLLABUS & COURSE MATERIAL

VERY GOOD SUPPORT FROM COURSERA SUPPORT TEAM.

By Naomi R

•

May 16, 2022

Great course but it would be good if it covered the preprocessing of data as well

By Dhaivat P

•

Apr 19, 2020

It is a very good course and the instructor is so good you get code to practice on

By Eric B

•

Jan 20, 2020

Good introductory course covering most of the basic ML algos. Wish it covered NLP.

By K A N D U L A V E N K A T A H E M A N T H

•

Oct 5, 2020

This course is very hepful to build a carrer and update yourself with the skills