EY Global Delivery Services ( EY GDS) Data Scientist Interview Questions and Answers for Freshers

Lists and tuples are essential data structures in Python for storing and manipulating collections of items.

• Lists are mutable and allow for dynamic resizing, making them suitable for scenarios where the size of the collection may change over time.

• Tuples are immutable and provide a fixed-size collection, making them useful for scenarios where the collection should not be modified.

• Lists and tuples can be used to store and...read more

Boosting techniques are ensemble methods that combine weak learners to create a strong learner.

• Boosting algorithms iteratively train weak models and give more weight to misclassified instances.

• Examples of boosting techniques include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting can be used for classification and regression tasks.

• Boosting algorithms aim to reduce bias and variance in the final model.

• Boosting can imp...read more

Pruning is a technique used in machine learning to reduce the size of a decision tree by removing unnecessary branches.

• Pruning helps prevent overfitting by simplifying the model.

• It improves the model's generalization ability by reducing complexity.

• Pruning can be done through pre-pruning or post-pruning.

• Pre-pruning involves setting a threshold to stop tree growth early.

• Post-pruning involves removing branches that do not...read more