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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

RN

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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!

SK

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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.

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2801 - 2807 of 2,807 Reviews for Machine Learning with Python

By Anna G

•

Jan 9, 2020

No real assignments. Boring lectures.

By Shreya B

•

May 7, 2022

I WANT A CERTIFICATE FOR THIS COURSE

By lauren p

•

Aug 28, 2019

Final project is way too vague

By Xe B

•

Jun 6, 2023

sub-par course

By Anmol N

•

Jul 2, 2022

scamed

By Sabhavath N

•

Jun 29, 2024

waste

By MD A K

•

Sep 15, 2021

GOOD