OUTPUT: Click Here
This project uses Logistic Regression, Support Vector Machines and XGBOOST algorithms.
Cross Validation, GridSearch CV and Bayesian Optimization were used respectively for Hyperparameter Tuning.
Several Accuracy metrices were used to judge the performance of the models.
Final Accuracy:
> Logistic Regression= 81.35%
> SVM= 83.15%
> XGBoost= 85.32%
Model Deployed using Streamlit Cloud