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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 active learning methods, and when would you apply them in data analytics?
RELATED INTERVIEW QUESTIONS
Explain the concept of a precision-recall curve and when to use it.
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
PHP vs Python: Features, Differences and Benefits in 2025
How do you handle multicollinearity in regression models?
What is the role of feature scaling in improving machine learning model accuracy?
Explain how data integrity is maintained in a multi-source data environment.
What are gradient descent and its variants, and how are they used in machine learning?
Explain the difference between bagging and boosting techniques.
What is the role of visualization in data analysis, and which Python libraries would you use?
What is the K-nearest neighbors algorithm, and when would you use it?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
What are the types of biases in data analysis and how can they be minimized?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is the purpose of a ROC curve in model evaluation?
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