Quantiphi Analytics Solutions Private Limited ml engineer Interview Questions and Answers for Experienced

A decision tree is a flowchart-like structure where each internal node represents a feature, each branch represents a decision, and each leaf node represents an outcome.

• Decision trees are a popular machine learning algorithm used for classification and regression tasks.

• They are easy to interpret and visualize, making them useful for understanding the decision-making process.

• Decision trees work by recursively splitting ...read more

Boosting is a machine learning ensemble technique that combines multiple weak learners to create a strong learner.

• Boosting iteratively improves the performance of a model by focusing on the mistakes made by previous models.

• Popular boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting is often used in classification and regression problems to improve accuracy and reduce bias.