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Each script and notebook in the repository is well-documented, with extensive logging for transparency and reproducibility. The repository is designed for researchers, data scientists, and conservationists interested in applying data-driven methods to marine ecology and species management.
ETL process and EDA was performed on used cars dataset scraped from PakWheels.com. The analysis was done through Jupyter Notebook. Insights were shared.
This repository contains a study how we can examine the vegetation cover of a region with the help of satellite data. The notebook in this repository aims to familiarise with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.