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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What are the key differences between a decision tree and a random forest?
RELATED INTERVIEW QUESTIONS
How do you handle high-cardinality categorical features in machine learning models?
What are the challenges in analyzing big data, and how do you mitigate them?
What are the benefits of using cloud analytics over on-premise solutions?
What is the significance of A/B testing in optimizing data-driven decisions?
Explain how you would deal with missing data in a large dataset.
Explain how overfitting and underfitting affect the performance of a machine learning model.
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
How do you optimize machine learning models for real-time decision-making?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
What is data leakage, and how can you prevent it in your analytics projects?
Explain how latent variable models work in data analytics.
What is the significance of the ROC-AUC score in evaluating classification models?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What is feature importance, and how do you evaluate it for machine learning models?
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