In this project, I will use R and apply exploratory data analysis techniques in a selected dataset about "White Wine Quality" to discover relationships among multiple variables and the influence each of these on the quality, and create explanatory visualizations illuminating distributions, outliers, and anomalies.
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.
Add a description, image, and links to the white-wine-quality topic page so that developers can more easily learn about it.
To associate your repository with the white-wine-quality topic, visit your repo's landing page and select "manage topics."