Analyze the ATM dataset and predict the monthly withdrawal and rating of an ATM based on the features in the dataset 🏧
You can view the analysis of the dataset here
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See below for prerequisite libraries and notes on how to deploy the project on a live system.
git clone https://github.com/mahirahman/ATM-Location-and-Revenue-Prediction.git
To run the application locally:
- CD to the directory of the project
- Install the requirements by using the command
pip install -r requirements.txt - Run all cells atm_prediction.ipynb
Python 3.7.x
pandas 1.3.5
numpy 1.21.5
sklearn 1.0.2
scipy 1.7.3
- Python 3.7 - Programming Language
- SciPy - Scientific Computing Library
- scikit-learn - Machine Learning in Python
We use SemVer for versioning.
- Mahi Rahman