Chevron Left
Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,422 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.

Filter by:

2451 - 2475 of 2,861 Reviews for Machine Learning with Python

By Kashyap A

Jul 16, 2020

it is good but very conceptual based

By Shivam R

Jun 26, 2020

It's really a good start towards ML.

By Arpit G

Feb 4, 2020

Practical solving should be increase

By act j l l t

Sep 27, 2022

Actualizar imagenes en documentos.

By VISHAL L E

Apr 24, 2021

Great for theoretical understanding

By Joseph Y

Feb 15, 2021

Very easy to understand and follow,

By Xuan H N

Dec 28, 2019

IBM Watson Studio is a minus point.

By ADITYA A

Feb 26, 2022

Great Course for someone new to ML

By Fazni f

Aug 18, 2021

Good Course to learn ML Algorithms

By Ali S

Jun 29, 2020

teaching codes was not really good

By Степа А Б

Sep 30, 2019

Very many ML models for one course

By James T

Dec 6, 2021

Great instructors and lesson plan

By Tianwei Z

Jul 1, 2021

Peer Review System is ridiculous.

By Anand I

Jan 18, 2021

The course is pretty good enough.

By Piyush C

Jul 3, 2019

Concepts are not covered in depth

By Eliel S

Aug 31, 2021

Good content and hands on labs.

By Swati P

Jun 28, 2021

Very Nice program for beginners.

By Preeti P

Apr 24, 2020

Amazing Course !! Really like it

By HUSSEINI H

Mar 26, 2019

Great course ! I recommend it !!

By Mahdi A

Jun 25, 2024

That is really practical for me

By VISHAL S C

Jul 29, 2023

GOOD INFORMATIVE COURSE ,THANKS

By nikos k

May 4, 2020

Very Good!! videos are excelent

By Pavithra P

Feb 11, 2024

Very good course for beginners

By Sanjib K

Sep 14, 2021

this course is helpful for me.

By Akash S

May 26, 2020

Videos can be more interactive