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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 stratified sampling, and when should it be used in machine learning?
RELATED INTERVIEW QUESTIONS
Explain the difference between random forests and gradient boosting methods.
What is the role of unsupervised learning in anomaly detection?
What are the ethical considerations when analyzing customer data in analytics?
What is overfitting, and how can it be avoided using regularization techniques?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
How do you perform feature engineering in time-series data?
What is the significance of feature importance in decision tree algorithms?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
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How would you implement a recommendation engine for movies using collaborative filtering?
What is the confusion matrix, and how does it help evaluate classification models?
Explain data leakage and how to prevent it in machine learning models.
What is time-series analysis, and what techniques do you use for it?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
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