11 month ago
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CONTEXT
This prompt is designed for data scientists looking to create predictive models for sales forecasting using historical sales data.
OBJECTIVE
The goal is to develop a robust predictive model that can accurately forecast future sales based on past trends.
FORMAT
Please provide a detailed explanation of the techniques you will use, any algorithms considered, and the validation methods for the model.
EXAMPLES
For instance, you could use linear regression, decision trees, or neural networks, along with k-fold cross-validation to ensure the model's reliability.
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