Clustering Geolocation Data Intelligently in Python
400 ratings
Offered By
10,662 already enrolled
In this Guided Project, you will:
75-90mins
Intermediate
No download needed
Split-screen video
English
Desktop only
In this 1.5-hour long project, you will learn how to clean and preprocess geolocation data for clustering. You will learn how to export this data into an interactive file that can be better understood for the data. You will learn how to cluster initially with a K-Means approach, before using a more complicated density-based algorithm, DBSCAN. We will discuss how to evaluate these models, and offer improvements to DBSCAN with the introduction of HDBSCAN. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Skills you will develop
visualization
Machine Learning
clustering
Data Analysis
map building
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Instructor
Instructor rating
Reviews
4.5
- 5 stars63%
- 4 stars26.50%
- 3 stars7%
- 2 stars3.25%
- 1 star0.25%
TOP REVIEWS FROM CLUSTERING GEOLOCATION DATA INTELLIGENTLY IN PYTHON
by CS
Jun 24, 2020The cloud Desktop Rhyme was slowing down. But the project content and instructor were superb.
by A
May 7, 2020A most practical, hands-on approach to handling location intelligent data using Python!
by AM
Aug 28, 2020Very Insightful Project. I really liked it!!! Thumbs up to the developer. Thank you so much!!
by II
Sep 20, 2020It is a good class and he is also explaining well.
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