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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the challenges of data visualization, and how do you overcome them?
RELATED INTERVIEW QUESTIONS
How does dimensionality reduction improve the performance of machine learning algorithms?
How do you handle high-velocity data in real-time analytics applications?
How do you decide whether to use a parametric or non-parametric statistical method?
How do you handle a large dataset that does not fit into memory?
How do you apply gradient descent in training deep neural networks?
What is data anonymization, and why is it essential in data analytics?
What is an anomaly detection system, and how would you implement it in Python?
Explain the concept of a data pipeline and its components in an analytics workflow.
How do you perform feature importance analysis for model interpretability?
How does the k-means clustering algorithm work and when should it be used?
How do you handle imbalanced datasets in classification models?
How do you ensure that your machine learning model generalizes well on unseen data?
What are the most important performance metrics for classification models?
What is the role of data governance in an organization’s analytics framework?
How would you apply cross-validation to avoid overfitting in a machine learning model?
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