How do Data Scientists approach predictive modeling?
The question is about Data Science .
Data scientists initiate predictive modelling by selecting key features in the data associated with the outcome. They then select an appropriate algorithm, such as linear regression or decision trees, construct and train the model using historical data, and evaluate it using methods such as cross-validation. Ultimately, they use the model to forecast results for new data.
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