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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,314 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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2651 - 2675 of 2,830 Reviews for Machine Learning with Python

By Pablo V V

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Mar 26, 2019

I prefer a blackboard videos likek Khan Academy. Instructor looks like a robot. But its ok.

By Sokob C

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Jul 25, 2020

I prefer to have more lab work to help with maintaining what was covered in each section.

By Mike B

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Aug 30, 2021

some errors in the code. Seemed like a marketing tool for IBM vs. a training session.

By Yunqi H

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Jul 22, 2019

The course contents are okay. However, the labs and final exam are not well designed.

By Mahan M

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Oct 13, 2019

very hard compared to the other courses in this data science package, but good info

By Karan S

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Aug 20, 2024

it was good theoretically, but have could have been better in practical learning.

By Asavari P

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Feb 26, 2021

Good learning, but very fast paced. A little more practice assignments would help

By shankar p

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May 28, 2020

Watson Studio was not enough explained. extremely difficult to work on it.

By Jayesh M

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Jan 27, 2020

Too complex course, some one will do not understand many things out of it.

By Jofre T C

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Aug 5, 2024

I have ended the course with Honors and is not visible on my certificate

By Abdulwahab A

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Apr 3, 2020

Was not easy to use the code on my local machine.

I was using spyder IDE

By VRS

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Jul 24, 2019

Should be an extensive course.The coding part should be explained more.

By Scott M

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Dec 6, 2020

Course content was good however the final assignment was confusing.

By UWIMANA L

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Jun 17, 2024

I liked the course, but at times, I felt like I had less practice.

By Madhurima M

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May 20, 2020

Lab works are not well explained. Otherwise, it's a great course.

By Chen Y

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Mar 27, 2019

The lectures that are longer than 5 minutes are hard to tolerate.

By Rangappa N

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Feb 28, 2019

Programming works need to be added,Quiz need to graded for free

By Nijatullah M

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May 8, 2021

instead of implementing the algorithm more explanation on math

By Abd-Elrhman M (

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Jul 4, 2020

everything was out of scope it was just a brief of every thing

By Aravind P

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Jun 12, 2020

Theory part was awesome. But not much of practical knowledge

By Stefan A

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Jun 6, 2020

Lab is working bad so a lot of time is waisted with waiting.

By Ahmed A

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Oct 21, 2024

you better spend more time on teaching how to write codes!

By Sean G

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Jan 22, 2023

Many labs in Jupiter Lab portal did not work correctly.

By Shamik K

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Jan 2, 2021

It will help to add more clarity on the final exercise.

By Ramsrinivas A

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Jan 16, 2020

Theoretical portion was shallow compared to Lab portion