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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you apply data smoothing techniques for time-series forecasting?
RELATED INTERVIEW QUESTIONS
How do you perform root cause analysis using data analytics in business?
How would you apply cross-validation to avoid overfitting in a machine learning model?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What are the main differences between batch processing and real-time processing in data analytics?
What is the difference between classification and regression problems in machine learning?
What is the role of unsupervised learning in anomaly detection?
What are the primary steps involved in preparing data for a machine learning model?
What is the importance of heteroscedasticity in regression models?
What are the differences between bagging and boosting in ensemble methods?
How do you optimize model performance in an unsupervised learning task?
What is the difference between batch processing and streaming in big data analytics?
What is Gaussian Naive Bayes, and when would you use it in classification?
Explain the concept of model overfitting and how can it be mitigated.
What are the challenges in analyzing big data, and how do you mitigate them?
How do you perform unsupervised learning for customer segmentation?
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