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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How does dimensionality reduction improve the performance of machine learning algorithms?
RELATED INTERVIEW QUESTIONS
What are the main differences between batch processing and real-time processing in data analytics?
How do you implement a Markov Chain for predictive analytics in customer behavior?
What is the role of unsupervised learning in anomaly detection?
How would you measure the impact of an analytics model in a business setting?
Explain the difference between random forests and gradient boosting methods.
Explain the concept of a precision-recall curve and when to use it.
What are the differences between logistic regression and linear regression?
How would you deal with multicollinearity in a regression analysis?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
What are decision trees, and how are they used in classification tasks?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
Explain how principal component analysis (PCA) works for dimensionality reduction.
Explain how data integrity is maintained in a multi-source data environment.
What is the importance of using dropout in deep learning models?
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