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CourseraMachine LearningFree courseIntermediate levelCertificate

Machine Learning with Python by IBM

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!

Created by: Saeed Aghabozorgi

Produced in 2018

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Course Description

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components:First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!By just putting in a few hours a week for the next few weeks, this is what you'll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.

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Instructor Details

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Saeed Aghabozorgi, PhD is a Sr. Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients' ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like deep learning, machine learning and statistical modelling on large datasets.

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Reviews

4.7

480 reviews in total

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By Cristian C P on 15-Nov-19

Good!

By Jair F L M on 15-Nov-19

Excelent course

By John V H on 14-Nov-19

I liked the course overall. Some of the lectures did not break down real world data sets or examples as much as I would have liked. Additionally, it would be nice to have more real world data set examples or tutorials to study or analyze with Python.

By Amit A on 13-Nov-19

Very difficult for me

By ONG K S on 13-Nov-19

Awesome machine learning course. Unlike most of other courses which come with technical mathematic jargon, this course explain everything in laymen term. Even myself without in depth knowledge in maths can understand it. Well done.

By Eugene T B on 12-Nov-19

Pretty good course, but you REALLY need to put in your own time to get anything out of it. You really could probably complete this course by just copy-pasting into the assignments. I wish there was slightly less hand-holding throughout the course and more having to do more work on your own with proper guidance, rather than just "here's a video" then "here's a notebook. Run it and see what happens."

By Dorjee G on 12-Nov-19

Great course, great instructor. I enjoyed doing the Lab works.Thanks,

By Vishnu K S on 12-Nov-19

Machine Learning with python provided by IBM is very good and basic course for beginners and very helpful .

By LEE C K on 12-Nov-19

Great explanation, and gradually increase difficulty!

By Chirag J on 9-Nov-19

A good course

By Sankhadip M on 7-Nov-19

LOVE IT.

By Kevin D on 7-Nov-19

This is one of the more challenging courses. You need to pay attention and review the material. The project will require some additional thought beyond just parroting the material

Showing 12 of 480 reviews

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Overall Score : 94 / 100