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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 Principal Component Analysis (PCA) used for in data reduction?
RELATED INTERVIEW QUESTIONS
What are the common pitfalls when working with real-time data in analytics?
What is the difference between KNN and SVM in classification tasks?
What are the main differences between batch processing and real-time processing in data analytics?
How do you deal with skewed data in regression models?
How do you calculate the precision, recall, and F1-score for a binary classification model?
What is the role of data enrichment in data analytics, and how is it achieved?
What are the common types of clustering algorithms, and how do you choose between them?
How do you handle missing data in large datasets using imputation techniques?
What is the importance of using dropout in deep learning models?
What is the difference between random forests and decision trees?
How do you prevent model bias in machine learning algorithms?
How does the concept of cross-validation help prevent overfitting in machine learning models?
What is the concept of feature extraction in computer vision?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
How do you deal with temporal dependencies in time-series forecasting?
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