Introduction
The Diabetes Prediction Model is a machine learning project that aims to predict whether a patient has diabetes based on various medical features. The model is built using popular machine learning techniques and evaluated on a well-known dataset.
Dataset Link : https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database
Features
- Data preprocessing and cleaning
- Feature selection
- Analyse the data
- Feature and Target split
- Allocating the training and testing data
- Feature Scaling
- Classifier Selection
- Accuracy Prediction
Dependencies
pip install pandas
pip install numpy
pip install matplotlib
pip install seaborn
pip install sklearn
Installation
- Clone this repository by using this command
git clone https://github.com/Sreejith2003/Diabetes_Prediction_Model.git
- Install the required deoendencies and run every one by one to get the prediction
- I used a sample prediction you can change the values to check the prediction
Happy Reading :)