In this project I did lot of efforts because the dataset used was imbalanced that's why i couldn't find any ML algorithms that gave me good results, I tried different Sampling techniques, although nothing happened. Finally I build this project using ANN and got an 77% accuracy and also very good precision, recall and f1 score.

Building a machine learning model that uses a dataset containing wine features to predict the quality of the wine.

End-to-end machine learning project predicting wine quality based on chemical properties, featuring data exploration, feature engineering, model optimization, and an interactive Streamlit interface <<not compete yet>>