SHYENA TECH YARNS Data Science Associate Interview Questions and Answers

Machine learning types include supervised learning, unsupervised learning, and reinforcement learning.

• Supervised learning involves training a model on labeled data to make predictions.

• Unsupervised learning involves finding patterns in unlabeled data.

• Reinforcement learning involves learning through trial and error based on rewards and punishments.

Classification metrics are used to evaluate the performance of machine learning models in predicting categorical outcomes.

• Common classification metrics include accuracy, precision, recall, F1 score, and ROC-AUC.

• Accuracy measures the proportion of correctly classified instances out of total instances.

• Precision measures the proportion of true positive predictions out of all positive predictions.

• Recall measures the propor...read more