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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,550 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

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.

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.

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2251 - 2275 of 2,878 Reviews for Machine Learning with Python

By Stephane A

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Apr 29, 2020

I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.

By 9058_Nishtha S

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Oct 11, 2024

Good for quick overview of some of the basics of introductory Machine Learning. More focused on theory and definitions.

By Ravindra D

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Nov 19, 2019

This course gives an introduction to machine learning by giving brief about algorightms such as KNN, Random forest etc.

By ­김준현

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Jan 16, 2022

it is all good but I cannot seem to create IBM Cloud account for some reasons... you guys have got to fix this problem

By Dusan R

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Jun 9, 2022

Week 6 was a bit chaotically organized. Overall, I really liked this course and would recommend it to other learners.

By Ankit A

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Mar 15, 2019

Course study material is excellently organized and presented in crystal clear way, which makes it easy to understand.

By Hrishikesh K

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Dec 21, 2023

The content of course is good but , Add more practice material so that learner can able to applied it to real world.

By Jeevanandam D

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Oct 30, 2021

Good knowledgeble course. Can me modified with simple programming tasks for people with zero programming knowledge.

By Vasiliki T

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Dec 12, 2020

A more demanding peer graded assignment would be an interesting thought for the future! :) thanking you in advance!

By Daksh J

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May 19, 2020

Nice and easy to learn for basic of machine learning.

Concept are explain in nice way with the help of good example

By Daniel P

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Aug 1, 2024

interesante el curso aunque no me llego el certificado con honores apesar de que envie el trabaja y fue calificado

By Dhanaraj N

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Jul 12, 2022

It's excellent course for beginners with theory and practical hands on training, really enjoyed it while learning.

By Chandra R

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May 18, 2019

It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.

By Santhosh R B

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Apr 7, 2020

Would have been more interactive if the grading was done after each and every week through assignments.

Thank you

By Thiago C

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Apr 13, 2020

The course is good but I will need to start at a beginner level in order to consider reapplying to this course.

By Jorge T

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Sep 23, 2022

An excellent opportunity to get your hands-on Pyhton and its ML libraries. More practical than theoretical.

By Suhan R

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Jan 11, 2020

The course is too short or rather a bit on the lighter side. Expected a bit more heavy and rigorous content.

By Giorgio G

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May 20, 2020

Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.

By Lakshit .

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Jul 25, 2021

The Content was brilliant but If you can add Reinforcement Learning to this course then it'll be more fun.

By Gabriel C

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Feb 19, 2020

Very comprehensive in terms of topics covered, but could be improved with videos to walk through tutorials

By Christian F

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Jun 3, 2020

Could have covered also Neural Networks and Random forest, but overall it was a very high-quality course.

By VARUN B

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Feb 11, 2020

Need more clarifications about the code in the lab session and the explanation of concepts are Excellent.

By Hichem D

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Jul 11, 2020

the course was awesome, easy to understand even for someone with no prior knowledge in machine learning

By William O

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Jun 24, 2020

Thank you so much!

The content was appropriate for my interests. I learned a lot and it was so accurate.

By Krishna M

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Apr 22, 2019

The course is aptly structured for intermediate learners - just the right level of complexity and ease.