Customer lifetime value prediction using Deep learning techniques: The aim of the project is to use deep learning, particularly recurrent neural networks to better understand customer behaviour in the retail sector. To achieve this, I implemented different RNN models to predict customers' lifetime value using the RFM parameters ( well known parameters in marketing ). The dataset used to train and test the model is available on kaggle : https://www.kaggle.com/c/acquire-valued-shoppers-challenge
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