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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
How do you handle textual data when working with machine learning models?
What are the most important performance metrics for classification models?
What is the significance of the ROC-AUC score in evaluating classification models?
How does the concept of cross-validation help prevent overfitting in machine learning models?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is the importance of model interpretability in real-world data analytics applications?
Explain how latent variable models work in data analytics.
Explain the concept of a precision-recall curve and when to use it.
How do you handle outliers in time-series data?
What is Collaborative Filtering, and how is it used in building recommendation systems?
How would you evaluate model performance in an imbalanced dataset problem?
How do you perform sentiment analysis on social media data?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What is the curse of dimensionality, and how does it impact data analysis?
What are the challenges of data visualization, and how do you overcome them?
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