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ML - Capstone

Introduction

  • This is the Machine Learning Nanodegree Capstone Project repository that contains all the code used to successfully complete this project.

  • The data that will be used throughout the course of this project was obtained from the National Consortium for the Study of Terrorism and Responses to Terrorism of the University of Maryland.

You can find the complete dataset here.

You can also find the visualizations of the dataset in the interactive web application here


How to use the workflow

  • Clone the repository

git clone https://github.com/ahmed-gaal/ml-capstone.git

  • Create virtual environment

python3 -m venv env

  • Activate virtual environment

source env/bin/activate

  • Install project dependencies

pip install -r requirements.txt

  • Load data for the workflow to commence

export DATA='https://drive.google.com/uc?id=182QuypWQDczgbSoObr9FxnVF6BcTrLTD'

  • You can change which features to use and which algorithm to implement

  • Initiate workflow production

dvc repro