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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 balance the trade-off between bias and variance in machine learning?
RELATED INTERVIEW QUESTIONS
Explain the difference between supervised and unsupervised learning with examples.
What are some effective techniques for handling missing values in large datasets?
How does the k-means clustering algorithm work and when should it be used?
What are the advantages and disadvantages of using deep learning for structured data analysis?
How do you ensure that your data pipeline is scalable for large datasets?
How do you perform outlier detection in data analytics?
How do you handle high-dimensional data and reduce the risk of overfitting?
How do you perform dimensionality reduction, and why is it essential in machine learning?
How do you handle categorical data in machine learning models?
What is the significance of A/B testing in optimizing data-driven decisions?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
How do you detect data imbalances in a classification problem and address them?
How does bootstrapping improve model accuracy in statistical analysis?
What are LSTM networks, and how do they handle sequential data?
What are the advantages of using XGBoost over other machine learning algorithms?
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