Principal Data Scientist Interview Questions and Answers for Freshers

Hyperparameters of SVM can be tuned using techniques like grid search, random search, and Bayesian optimization.

• Grid search involves defining a grid of hyperparameter values and evaluating the model performance for each combination.

• Random search randomly selects hyperparameter values from a defined range and evaluates the model performance.

• Bayesian optimization uses a probabilistic model to select the next set of hyperparameters based on previous evaluations.

• Cross-validation ...read more

A decision tree is a flowchart-like structure used to make decisions or predictions based on multiple conditions or features.

• A decision tree is a hierarchical structure with nodes representing conditions or features, branches representing possible outcomes, and leaves representing final decisions or predictions.

• It is a popular machine learning algorithm used for classification and regression tasks.

• Each internal node in the tree represents a test on a specific feature, and eac...read more