Question: Model Building: a . Estimate the unknown model parameters ( fitting ) and evaluate the model ( validation / cross - validation ) . b

Model Building:
a. Estimate the unknown model parameters (fitting) and evaluate the model (validation/cross-validation).
b. Compare different models based on the performance measures.
c. Interpret the findings and provide the details of the final selected model.I want a general codes that fits any dataset
Model Building: a . Estimate the unknown model

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