Zones Data Scientist Interview Questions and Answers

Types of machine learning include supervised learning, unsupervised learning, and reinforcement learning.

• Supervised learning: The model is trained on labeled data.

• Unsupervised learning: The model is trained on unlabeled data.

• Reinforcement learning: The model learns through trial and error, receiving rewards or penalties.

• Semi-supervised learning: Combination of supervised and unsupervised learning.

• Deep learning: Neural ...read more

Feature engineering is the process of selecting and transforming variables to create new features that improve model performance.

• Feature engineering involves selecting relevant variables for the model

• It also includes transforming variables to make them more suitable for the model

• Examples include creating interaction terms, polynomial features, and one-hot encoding categorical variables