For this project, I was tasked with building a model that can forecast the probability of unrest one month in advance given unrest.csv, a dataset containing monthly indicators for 50 regions over a 10-year period.

Please clone this repository and run the Jupyter notebook to view my full solution and analysis.

In order to set up the proper virtual environment and requirements to run the notebook, please follow the instructions below:

1. Open Terminal Run Anaconda prompt terminal as an administrator and navigate to the folder where the repository is located.

2. Create a Virtual Environment Execute the following commands to set up your environment:

   # i. Create the environment
   conda create --name <env-name> python=3.12
   
   # ii. Activate the environment
   conda activate <env-name>
   
   # iii. Install dependencies
   pip install -r requirements.txt
   
   # iv. Install the ipykernel
   python -m ipykernel install --user --name=<env-name> --display-name "Python (<env-name>)"

3. Launch the Notebook Navigate to the directory where you downloaded the notebook and run:

   jupyter notebook

In order to view the online dashboard where you will be able to select a region, select a month, and view the probability of unrest, please visit this link:

👉 civil-unrest-forecaster.vercel.app