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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