Target Data Scientist Interview Questions and Answers

Array-based question

Q1. Explain Xgboots
Ans. 
XGBoost is a popular machine learning algorithm known for its speed and performance in handling large datasets.
• XGBoost stands for eXtreme Gradient Boosting.

• It is an implementation of gradient boosted decision trees designed for speed and performance.

• XGBoost is widely used in machine learning competitions and real-world applications.

• It can handle missing data, regularization, and parallel processing efficiently.

• XGBoost ...read more
Answered by AI
Add your answer
Q2. Explain random forest
Ans. 
Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
• Random forest is a type of ensemble learning method.

• It builds multiple decision trees during training.

• Each tree in the forest makes a prediction, and the final prediction is the average or majority vote of all trees.

• Random forest is used for classification and regression tasks.

• It helps reduce overfitting and ...read more
Answered by AI
Add your answer

Q1. Explain about your project
Add your answer
Q2. Explain the sequence to sequence models and transformers
Ans. 
Sequence to sequence models are used in natural language processing to convert input sequences into output sequences.
• Sequence to sequence models are commonly used in machine translation tasks, where the input is a sentence in one language and the output is the translated sentence in another language.

• Transformers are a type of sequence to sequence model that use self-attention mechanisms to weigh the importance of diffe...read more
Answered by AI
Add your answer

Q1. Past experience
Add your answer