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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you apply Shannon entropy in data analytics for feature selection?
RELATED INTERVIEW QUESTIONS
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
How do you calculate the precision, recall, and F1-score for a binary classification model?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
How do you use decision trees for feature selection in machine learning?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
Explain the concept of hyperparameter tuning and its role in model optimization.
What is overfitting, and how can it be avoided using regularization techniques?
What is the role of Natural Language Processing (NLP) in data analytics?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
How do you perform feature engineering in time-series data?
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