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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is dimensionality reduction, and why is it important in data analytics?
RELATED INTERVIEW QUESTIONS
What is the importance of using dropout in deep learning models?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
Explain the concept of a data pipeline and its components in an analytics workflow.
How do you use time-series decomposition to analyze seasonal trends?
What is the importance of heteroscedasticity in regression models?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is the confusion matrix, and how does it help evaluate classification models?
How would you measure the impact of an analytics model in a business setting?
How do you handle high cardinality categorical features in machine learning models?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
What are the primary steps involved in preparing data for a machine learning model?
How do you handle outliers in time-series data?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
What are the best practices to ensure model interpretability and explainability?
What is the purpose of a ROC curve in model evaluation?
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