ML Assessment Review Ticket

[srivaidyas]

Ml Review Ticket

• [x] Show frontend and backend

Lessons from the backend + Model

• [x] Efficiency in programming
• [x] Crud worked on mainly frontend last trimester
• [x] Object Oriented Programming
• [x] Reference back to predict function
• [x] Model = Data model (creates an object that is oriented towards the prediction, which is more organized and easy to predict)
• [x] IMP data saved to pickle file where the training weights are saved
• [x] 1-time data training which is saved and does not need to be trained again

[srivaidyas]

Teacher Score

2.70/3.0

• Improve on the readability and make sure to use the add-delete methods of code improvisation
• Challenge yourself to harder code
• Make a bigger dataset with at least 1000 rows of data
• Good that you used the Pickel dataset to save the data and reuse it later on without reload
• Good that everyone knew what the project backend was