This repository contains a Jupyter Notebook detailing the development of a deep learning model for predicting hypothyroidism. The project is an assignment for a class test and utilizes a dataset from Kaggle, which is based on the thyroid disease dataset from the UCI Machine Learning Repository.
.gitignore
: A file specifying untracked files to ignore.Hypothyroidism_Prediction_Using_Deep_Learning.ipynb
: The Jupyter Notebook created using Colaboratory that contains the deep learning model and analysis.hypothyroid.csv
: The dataset used for training and testing the deep learning model.
To get started with this project, clone the repository to your local machine:
git clone https://github.com/jaky1206/hypothyroidism-prediction-deep-learning.git
Ensure you have Jupyter Notebook installed, or use Google Colab to open the .ipynb file.
- Kaggle for providing the dataset and code.
- UCI Machine Learning Repository for the original thyroid disease dataset.