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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 is the difference between batch normalization and layer normalization in deep learning?
How do you use time-series decomposition to analyze seasonal trends?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What are the steps involved in building a recommendation system for e-commerce?
How would you deal with multicollinearity in a regression analysis?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
What are the differences between bagging and boosting in ensemble methods?
What is the difference between random forests and decision trees?
What are support vector machines (SVM) and how do they classify data?
How would you handle seasonality in a time-series forecasting problem?
How would you optimize the performance of a recommendation system for personalized product suggestions?
Explain the difference between random forests and gradient boosting methods.
How do you handle high-dimensional data and reduce the risk of overfitting?
How would you perform real-time data analysis using Kafka and Spark?
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