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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the best practices to ensure model interpretability and explainability?
RELATED INTERVIEW QUESTIONS
How do you optimize machine learning models for real-time decision-making?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
Explain how overfitting and underfitting affect the performance of a machine learning model.
How do you use SQL to perform data manipulation and aggregation in an analytics project?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is the curse of dimensionality and how does it affect machine learning models?
What are the different methods for handling missing data in datasets?
How would you handle an imbalanced dataset in a classification problem?
What are LSTM networks, and how are they used in sequence prediction tasks?
What is the importance of using dropout in deep learning models?
What is the concept of Feature Extraction in computer vision analytics?
What are convolutional neural networks (CNN) used for in image recognition?
What are the differences between LSTM and GRU networks in deep learning?
How do you build a predictive model for sales forecasting in e-commerce?
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