Clarivate Interview Questions and Answers

Random forest is better than decision tree due to its ability to reduce overfitting and handle large datasets.

• Random forest reduces overfitting by averaging multiple decision trees

• Random forest can handle large datasets with high dimensionality

• Random forest is more robust to noise and outliers compared to a single decision tree

Assumptions of linear regression include linearity, independence, homoscedasticity, and normality.

• Linearity: The relationship between the independent and dependent variables is linear.

• Independence: The residuals are independent of each other.

• Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Normality: The residuals are normally distributed.

Best practices for Salesforce triggers ensure efficient, maintainable, and scalable code.

• One Trigger per Object: Use a single trigger per object to simplify management. Example: Instead of separate triggers for Account and Contact, use one for each.

• Use Context Variables: Leverage Trigger.new and Trigger.old to access records efficiently. Example: Use Trigger.new to get new values in an update.

• Avoid SOQL Queries in Loop...read more

I have worked on various projects involving data analysis, visualization, and interpretation.

• Developed predictive models using machine learning algorithms

• Performed data cleaning and preprocessing to improve data quality

• Created interactive dashboards for data visualization

• Conducted statistical analysis to identify trends and patterns

• Collaborated with cross-functional teams to derive actionable insights

I typically utilize tuning parameters such as learning rate, regularization strength, batch size, and number of epochs.

• Learning rate: Adjusting the step size during optimization to control how quickly the model learns.

• Regularization strength: Balancing between fitting the training data well and preventing overfitting.

• Batch size: Determining the number of samples processed before updating the model.

• Number of epochs: Set...read more