In this project a dataset about Diabetes
was given and we had to preprocess the data and then create a XGBoost
model with given parameters. In the final step we used GridSearchCV
to evaluate different parameters and finally choose the best parameters. At the end there are some visualizations for understanding the resaluts better.
Here is the dataset: Diabetes Dataset
pouyanhessabi/Diabetes-Prediction-DM-Project
Project of Data Mining course in Amirkabir University Of Technology.
Python