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1. CHAID-Model- CHAID-Model- Public

   This project applies a CHAID decision tree to classify terrain types using geospatial data. Nested JSON files are flattened, features such as vegetation, elevation, slope, and soil are extracted, a…

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2. classification-model-for-topography-report classification-model-for-topography-report Public

   This repository contains code and a dataset for developing a machine learning classification model focused on topography reports. The work involves preparing data, engineering labels, and training …

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3. Code-base-for-decision-tree Code-base-for-decision-tree Public

   End-to-end MODIS vegetation pipeline: parse MOD13Q1/MYD13Q1 JSON, engineer date-level band stats (mean/std/min/max/p25/p75), build a proxy NDVI/EVI label, and train a Decision Tree (impute→scale→tr…

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4. Decision-Tree-for-weather-report Decision-Tree-for-weather-report Public

   A config-driven decision tree for classifying weather conditions using MODIS and topography data

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5. Geostiff-data Geostiff-data Public

   Multi-source remote sensing and weather grids for topography and fire risk analysis, featuring MODIS vegetation indices, spectral bands, land surface temperature, and meteorological data for machin…

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6. Data-Analyst Data-Analyst Public