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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How does data governance ensure the quality and security of your analytics outputs?
RELATED INTERVIEW QUESTIONS
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is the difference between KNN and SVM in classification tasks?
How do you handle unstructured data in analytics models?
Explain the concept of ensemble learning and its applications in classification and regression problems.
How do you deal with skewed data in regression models?
What is Gaussian Naive Bayes, and when would you use it in classification?
Explain the difference between supervised and unsupervised learning with examples.
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
How would you apply cross-validation techniques in a deep learning model?
How do you detect data imbalances in a classification problem and address them?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What is the importance of hyperparameter tuning in machine learning models?
Explain the role of backpropagation in training neural networks.
What are LSTM networks, and how are they used in sequence prediction tasks?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
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