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Machine Learning The aim would be to compare various models and techniques for their estimation to allow meaningful interpretation and competitive predictive performance. The latter should be assessed by appropriate experiments based on training and test datasets. In addition to linear regression, Tree-based methods, Non-linear models, or other suitable techniques can be used if you think they can provide improvement. Task: Build a regression model for the variable G3 (final grade) without using the variables G1 and G2. Interpret the model and assess its predictive performance

Machine Learning

The aim would be to compare various models and techniques for their estimation to allow meaningful interpretation and competitive predictive performance. The latter should be assessed by appropriate experiments based on training and test datasets. In addition to linear regression, Tree-based methods, Non-linear models, or other suitable techniques can be used if you think they can provide improvement.

Task:

Build a regression model for the variable  G3 (final grade) without using the variables G1 and G2. Interpret the model and assess its predictive performance

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