Lesson 3 (Model Training)

Data wrangling is a one-time process

• True

• False

Ways to handle missing data

• Drop missing columns

• Replace with zero

• Replace with mean

• All of the above

Select the activity that is not a part of data wrangling

• Restructuring

• Grouping

• Model Training

• Normalization

________ helps to package data into consumable formats

• Datastore

• Datasets

Datasets create an in-memeory copy of the underlying data

• False

• True

Select the linear dimensionality reduction technique based on linear mathematical calculations

• T-SNE

• PCA

• Feature embedding

• All of the above

________ provides alert about data drift

• Datastore

• Dataset

• Data monitor

Hyperparameters are not learnt from the data

• True

• False

Select the hyperparameters

• Number of training epochs

• Weights/coefficients

• Number of hidden layers

• Learning rate

Select the evaluation metric not used for classification

• RMSE

• Precision

• F1 Score

• Squared error