Diabetes Prediction Machine Learning Project

This project includes skills in machine learning focused on predicting the likelihood of a person having diabetes. The project features the implementation of various classification models as well as an Artificial Neural Network (ANN) to address the classification task.

Models Implemented
The following models are included in the project:

Logistic Regression
Support Vector Classifier (SVC)
Gaussian Naive Bayes Classifier
Random Forest Classifier
Gradient Boosting Classifier
AdaBoost Classifier
Extra Trees Classifier
XGBoost Classifier
LightGBM Classifier (imported as lgb.LGBMClassifier)