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.
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: SAEED AGHABOZORGI
491,261 already enrolled
Included with 
4.7
(16,550 reviews)
Intermediate level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
94%
Most learners liked this course
What you'll learn
Describe the various types of Machine Learning algorithms and when to use them
Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression
Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees
Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics
Skills you'll gain
Details to know
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Taught in English
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Learner reviews
4.7
16,550 reviews
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Showing 3 of 16550
CX
4
Reviewed on Jun 24, 2020
FO
5
Reviewed on 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.
AG
5
Reviewed on Feb 1, 2020
Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.
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Frequently asked questions
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