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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

CX

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This course walks us through the fundamentals of machine learning methods. The capstone project is very useful for those who have previous knowledge of machine learning and Python programming.

FO

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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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851 - 875 of 2,798 Reviews for Machine Learning with Python

By Alpay S D

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Apr 10, 2020

It was an awesome course with extremely detailed exercises and videos.

By Periklis K

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Jan 19, 2020

A must enroll for getting a good start on machine learning with Python

By Mychajlo C

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Dec 29, 2019

This one was good in terms of overview of ML approaches and algorithms

By Raju K

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Dec 22, 2019

Great material and good introduction to machine learning using python.

By RuoxinLi

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Oct 26, 2019

great class for building the fundamental knowledge of machine learning

By Prateek K

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Oct 10, 2019

provided me a very practical knowledge of machine learning algorithms.

By Femke d K

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Jul 23, 2019

Very compact course, good overview of ML with Python, I learned a lot.

By Alexander H

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Nov 27, 2018

definitely the best of all these courses - more advanced and practical

By Aftab N

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Jun 28, 2023

Excellent course =, very well designed and narrated with lab examples

By Md. M R

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Mar 22, 2023

Though behind these great theories, I think the overview is perfect!!

By Mohannad D

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Jul 26, 2022

Very informative, straightforward explanations! in short, I loved it!

By Isaac A

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Mar 17, 2020

It was a great experience and i came out of it feeling more confident

By AKSHAY K C

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Mar 4, 2020

Good course with spot-on explanation for beginners and medium-experts

By Junsoo P

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Jan 16, 2020

A great, short class for hands-on Python skills for machine learning.

By Carmelo E V

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Dec 11, 2019

Very useful for understanding machine learning algorithm and approach

By hassan s

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Aug 20, 2019

What an Experience, There is lot information learned in this session.

By Chap M

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Aug 10, 2019

I learned a lot about model optimisation as well as model evaluation.

By Jithin T

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Jul 31, 2019

The learning experience was awesome. I have learned many MI concepts.

By Navneeth P

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Sep 4, 2024

it was so simple and tailored specially for beginners. great course.

By vipin p

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Apr 13, 2023

thanks to coursera and all IBM mentors for the wonderful teaching.

By Rubén R M

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Feb 27, 2023

A good course for begginers in machine learning. I've learned a lot.

By Graciano P

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May 11, 2021

Learned to use IBM Watson for machine learning models. Great course!

By Lakshya C

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Oct 14, 2020

Very Good Course. Learnt a lot from this course. Best for begineers.

By Manav J

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Jul 5, 2020

Great course, for getting your hands on Machine Learning algorithms.

By Alexandre d C P

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May 12, 2020

Opening a new perception in what we can do with data. Keep studying.