Adidas Data Scientist Interview Questions and Answers

Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.

• Uses labeled training data to learn the mapping between input and output variables

• The model is trained on a dataset where the correct output is known

• Examples include classification and regression tasks

Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.

• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor generalization on new, unseen data.

• Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

• Example: A decision tree with too many branches that perfectly fits the training d