Build Predictive Analytics Model to Estimate Student Grades - Certification

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    All below questions are mandatory

  1. Which of the following evaluation metrics was used to sort the models? 

  2. Which of the following regularisation method combines L1 and L2 penalties? 

  3. Regression helps in the prediction of _____________. 

  4. Regression is an example of ________________. 

  5. What does the regularisation prevent in machine learning? 

  6. In this training, we discussed how Student's Grade is predicted. Download and run the Students Grade predictor kit and use the model to predict the final grades of a student based on different grade scores of the tests G1 and G2 and share with us a screenshot/photo/video of the changes that you implemented in your kit.