Predicts customer purchase value using a Multi-Layer Perceptron (MLP) on digital commerce session data. Addresses zero-inflated targets with custom post-processing logic. Includes EDA, feature engineering, and evaluation using R2 Score.
What is the singh-yash129/Customer-Purchase-Value-Prediction-MLP GitHub project? Description: "Predicts customer purchase value using a Multi-Layer Perceptron (MLP) on digital commerce session data. Addresses zero-inflated targets with custom post-processing logic. Includes EDA, feature engineering, and evaluation using R2 Score.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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