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Integration:  git mlflow
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EDA, spatiotemporal visualizations and DBSCAN modeling
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Code for deployment
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EDA, spatiotemporal visualizations and DBSCAN modeling
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EDA, spatiotemporal visualizations and DBSCAN modeling
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EDA, spatiotemporal visualizations and DBSCAN modeling
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Update to parse 2019 and 2020 facilities data
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Add processed datasets
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Add processed datasets
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Add processed datasets
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Code for deployment
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EDA, spatiotemporal visualizations and DBSCAN modeling
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Update to parse 2019 and 2020 facilities data
3 months ago
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Code for deployment
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Code for deployment
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README.md

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KadunaStateTBAnalysis

The Project

        This project aims to develop a tool for analyzing data collected and compiled in the state by automating the process using     data science by developing a notebook and or dashboard on Streamlit to present Data insights and visualizations on the data.
       
         The project was initaited with a [DataSets](hhttps://drive.google.com/drive/folders/1qeHsngqf-2UQ4uaycoE2ubc1BcBnocy0?usp=sharingttp://) in hand which made the project very easy to begin.
        Traditionally in Omdena, Tasks are created to make the process of the project in structure
        1. Task 1 Data Preprocessing  [Folder](hhttps://drive.google.com/drive/folders/1qkbqakV6UNw6-kPHOsTYexcgpOXcp6_D?usp=sharingttp://)
        2. Task 2 Exploratory Data Analysis [Folder](hhttps://drive.google.com/drive/folders/1R1dvpqbL_Vl4_iJ0gEUwJuMBVzsxNW3e?usp=sharingttp://)
        3. Task 3 Visualizations [Folder](https://drive.google.com/drive/folders/1qrw8vxcPRLFu9mhU8WkJqz_iS5AM9O3Y?usp=sharinghttp://)
        4. Task 4 Modeling [Folder](hthttps://drive.google.com/drive/folders/1qwoOum4Wp6jkTIYY3qvv6fnaR_fBx6xj?usp=sharingtp://)
        5. Task 5 Deployment [Folder](hhttps://drive.google.com/drive/folders/1qzuMdFidFDc7Tegx_EhclEIPZbQ159xf?usp=sharingttp://)
        6. Task 6 Presentation [Folder](hhttps://drive.google.com/drive/folders/1r1Ne5aa54qF47CRdP3hBiSHI2tyn7RIG?usp=sharingttp://)
    These are the processes employed and used in this Data Science Project.
    important note: the case fiding tool of any state canbe used to get visualizations when data gets process by the ETL Pipeline.
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"Kaduna, Nigeria Chapter" - Analyzing Tuberculosis Cases in Kaduna State from 2021 to 2023 using Data Science

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