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AdityaPrakash27 / Wildlife-Conservation-and-Habitat-Monitoring

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Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.

machine-learning big-data data-visualization pyspark tableau gbif decision-tree habitat-suitability k-means-clustering wildlife-conservation sustainable-development species-distribution sdg15
  • Updated Oct 18, 2024
  • Python

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