Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

16,038 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

Invalid date

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

Invalid date

The instructor was awesome. His voice was crisp and to the point. The course is actually well laid out with proper structure. Altogether a great learning experience. Cheers... Keep up the good work.

Filter by:

2226 - 2250 of 2,807 Reviews for Machine Learning with Python

By Joseph L

•

Jul 24, 2019

I am enjoying the course so far. Very well explained with a pretty comprehensive course material.

By nilay m

•

Mar 11, 2019

it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.

By Saptashwa B (

•

Mar 4, 2019

The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon

By ADEJOKUN A

•

Apr 27, 2020

The underlying concepts of the various algorithms were broken down and delivered with simplicity

By Bala M

•

Sep 17, 2019

Excellent course explaining all the essential details to kick of the ML journey using Python.

By Lovish G

•

Apr 26, 2024

Difficult to understand for a Non-mathematical student. Overall a great learning experience.

By Neil C

•

Aug 29, 2020

It was a good course but the final exam could do with more structure around what is expected

By Urs H

•

Jun 29, 2019

Comprehensive, good to understand, minor errors in the description of the final assignḿent.

By Alex L

•

Oct 18, 2022

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

By rk s

•

Feb 20, 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 4, 2023

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

By Daniel J B O

•

May 26, 2020

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

By Mauricio C V

•

Jul 11, 2024

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

By Rubén G

•

May 29, 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 2, 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.