Monsoon CreditTech Data Scientist Interview Questions and Answers

The choice of ML model depends on the problem, data, and desired outcome.

• Consider the problem type: classification, regression, clustering, etc.

• Analyze the data: size, quality, features, and target variable.

• Evaluate model performance: accuracy, precision, recall, F1-score.

• Consider interpretability, scalability, and computational requirements.

• Experiment with multiple models: decision trees, SVM, neural networks, etc.

• Use...read more

I have worked on various projects involving machine learning algorithms, hyperparameter tuning, cross validation, and evaluation metrics.

• Developed a predictive model for customer churn using logistic regression and decision trees

• Used random forest algorithm for image classification in a computer vision project

• Implemented hyperparameter tuning using grid search and randomized search for a sentiment analysis project

• Evalu...read more