This repository contains the Machine Learning code for the classification of Cervical Cancer Risk.
To interact with the notebooks and run all the codes, you need to download the dataset and install the necessary python packages.
To obtain the data needed to run the codes, follow the instructions from the authors in here.
The repository uses Python3 to run the code. You can find all the necessary packages
inside the requirements.txt
file.
It is recommended to use virtualenv
to install and run the codes. After activating the virtualenv
you can run the following
command in your terminal to install all the required packages:
pip3 install -r requirements.txt
To activate pre-commit
hooks, you should run pre-commit install
after installing the requirements
and activating the environment.
Use the following commands to run the interactive notebooks:
jupyter notebook