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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 deal with temporal dependencies in time-series forecasting?
RELATED INTERVIEW QUESTIONS
How do you evaluate model performance when the dataset is small and unbalanced?
What is the role of data normalization in machine learning?
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What are the key differences between supervised and unsupervised learning in data analytics?
How does the k-means clustering algorithm work and when should it be used?
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
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What is transfer learning, and how is it useful in deep learning?
What is the Kurtosis of a distribution, and how do you interpret it?
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How do you choose the best machine learning algorithm for a given dataset?
What is dimensionality reduction, and why is it important in data analytics?
What is overfitting, and how can it be avoided using regularization techniques?
How would you handle seasonality in a time-series forecasting problem?
How would you implement real-time data analytics for fraud detection?
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