Building a predictive analytics model involves several key steps to ensure accuracy and reliability.
Define the Problem – Clearly identify the objective of the predictive model, such as forecasting sales or detecting fraud.
Collect and Prepare Data – Gather relevant historical data from various sources and clean it by handling missing values, duplicates, and inconsistencies.
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