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
Course Description
Instructor Details
- 4.7 Rating
480 Reviews
Saeed Aghabozorgi
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.
More courses by Saeed Aghabozorgi
Machine Learning with Python: A Practical Introduction
Provider: edX
Time: 5 Weeks - 4-6 hours per week
Free
Reviews
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 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 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 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
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Quality Score
Overall Score : 94 / 100





