Account
Login
Categories
HTML
CSS
Python
PHP
MySQL
Linux
Javascript
HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you handle outliers in time-series data?
RELATED INTERVIEW QUESTIONS
What is reinforcement learning, and where is it applied in business analytics?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What is the importance of heteroscedasticity in regression models?
What is data leakage, and how can you prevent it in your analytics projects?
What is the accuracy paradox and how does it affect model evaluation?
What is gradient boosting and why is it more effective than traditional decision trees?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What is the role of data imputation in handling missing data?
Explain the concept of a precision-recall curve and when to use it.
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
What are the differences between deep learning and ensemble methods in predictive analytics?
What is the significance of the ROC-AUC score in evaluating classification models?
How do you implement feature selection techniques for high-dimensional data?
X
