This is an Unsupervised Machine Learning project done on Supermarket dataset for Predictive Marketing. The data is obtained from Kaggle. The dataset contains data of several different of Supermarket customers.
The aim of this project is to perform clustering using the K-Means Model. The best parameters for the model is found using the elbow plot and also confirmed through GridSearchCV method.
And thus using a KMeans with PCA of 4 and 7 clusters are classified with best accuracy as in the actual classification.