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This is an assignment for the Capstone portion of the online class of IBM Data Science.

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Segmenting-and-Clustering-Neighborhoods-in-Toronto

The repository is a part of the IBM Data Science Capstone project. The project includes the segmentation and clustering of Neighbourhoods in Toronto using K Means Machine Learning Clustering algorithm.

The first map contains the visualization of the various neighbourhoods in Canada whose borough has the word Toronto. Screenshot-148.png

The second map contains the clusters of data using the KMeans ML algorithm. Screenshot-147.png

To view the jupyter notebook on IBM Cloud, visit

https://eu-gb.dataplatform.cloud.ibm.com/analytics/notebooks/v2/3bca3e95-f61f-4487-b9b0-8cabf318cd5d/view?access_token=b63697b0c089876914389df241818215015389acba36cf33a8265feb7855c579

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To IBM Data Science Specialization course in Coursera

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This is an assignment for the Capstone portion of the online class of IBM Data Science.

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