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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 the difference between batch normalization and layer normalization in deep learning?
RELATED INTERVIEW QUESTIONS
Explain the concept of hyperparameter tuning and its role in model optimization.
Explain the concept of bias-variance tradeoff in machine learning.
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
How does ensemble learning work, and when should it be applied?
Explain the concept of reinforcement learning and its applications in analytics.
What are the challenges of data visualization, and how do you overcome them?
What are decision trees, and how are they used in classification tasks?
What is feature importance, and how do you evaluate it for machine learning models?
What is the F1-score in classification tasks, and why is it important?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What are the major differences between SQL and NoSQL databases in data analytics?
What is Bagging in machine learning, and how does it reduce overfitting?
How do you handle high cardinality categorical features in machine learning models?
What is feature selection, and how does it impact the model’s performance?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
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