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Overview
Context
You have probably come across Google News, which automatically groups similar news articles under a topic. Have you ever wondered what process runs in the background to arrive at these groups?
In this Cluster Analysis in Python course offered by Data Camp, you will be introduced to unsupervised learning through clustering using the SciPy library in Python.
Through the course, you will explore player statistics from a popular football video game, FIFA 18.
After completing the course, you will be able to quickly apply various clustering algorithms on data, visualize the clusters formed and analyze results.
Programme Structure
Chapters include:
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Clustering in Real World
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Software Engineering Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
- Intermediate Python
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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