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Data Analysis on NASA's Fire Dataset to locate the Agricultural Fire Incidents in Telangana #24

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This project covers the task to locate the 'Agricultural Burnings' that are occurring in Telangana, India. This first part of the project was to clean the data and to convert the Latitudes and Longitudes to the 'Districts'. In doing all this may pandas features were used like 'Groupby', 'Geocode', 'Geopy' etc. In the second part of the project, we used Clustering Algorithms like 'K-Means' and 'Silhouette' to cluster and determine the number of clusters. This method predicts that the Fire Dataset has '3' clusters. The are mainly 'Fire' and 'Smoke'. This is essentially an Unsupervised Leaning problem.

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