Dataset link
Resources
Question Statement:
Imagine you are working for a cutting edge E-Commerce Company. Your goal is to build a predictive model using the provided dataset, which contains detailed customer profiles and their purchasing behavior.
Your Task:
Train Your Model: Use the training dataset (participants_test_dataset.csv) to build a predictive model. This dataset contains customer features such as demographic information, spending habits, and campaign responses.
Make Predictions: Apply your trained model to the validation dataset (testDataset), which contains the same customer features but without the target column (Next_Purchase). Your task is to predict whether each customer will make their next purchase (1 for "Yes" and 0 for "No").
Submit Your Predictions: Generate a submission file containing two columns:
User_Key: The unique identifier for each customer.
Next_Purchase: Your model's prediction (0 or 1) for whether the customer will make their next purchase.
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