Ecommerce_Sale_Prediction

Overview:

1. Data -> https://archive.ics.uci.edu/ml/datasets/online+retail
2. This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.

Aim:

The objective is to segment the customers based on recency, frequency and monetary so that the company is able to filter out the target audience.

Language:

Python

Libraries:

1. Numpy
2. Pandas
3. Matplotlib
4. scikit-learn
5. Seaborn

Machine Learning:

1. K-Means Clustering
2. Agglomerative Clustering

Author:

Ritvika Nandi