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DL-SIMPLIFIED(Online Shopper Intention Prediction)

developing a predictive model using deep learning to determine whether an online shopper intends to make a purchase

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Created on 28th February 2025

D

DL-SIMPLIFIED(Online Shopper Intention Prediction)

developing a predictive model using deep learning to determine whether an online shopper intends to make a purchase

The problem DL-SIMPLIFIED(Online Shopper Intention Prediction) solves

This project focuses on developing a predictive model using deep learning to determine whether an online shopper intends to make a purchase. Using the Online Shoppers' Intention Dataset from UCI, the aim is to assist businesses in personalizing marketing campaigns and improving user engagement.

Challenges I ran into

Balancing model complexity with performance; addressed by applying feature engineering, dropout layers for regularization, and hyperparameter tuning.

Discussion

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