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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you handle an imbalanced dataset in a classification problem?
RELATED INTERVIEW QUESTIONS
How does bootstrapping improve model accuracy in statistical analysis?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is the concept of feature extraction in computer vision?
How would you handle an imbalanced dataset in a classification problem?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is causal inference, and how does it differ from correlation analysis?
What is XGBoost, and how does it differ from other boosting algorithms?
What is time-series analysis, and what techniques do you use for it?
What are autoencoders, and how are they used in unsupervised learning tasks?
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 optimize machine learning models for real-time decision-making?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
How do you assess the impact of outliers in your data and model predictions?
What is tuning in machine learning, and how do you apply it to hyperparameters?
Explain how latent variable models work in data analytics.
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