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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How does regularization help to reduce overfitting in machine learning models?
RELATED INTERVIEW QUESTIONS
How do you build a predictive model for sales forecasting in e-commerce?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
How do you ensure that your machine learning model generalizes well on unseen data?
What are active learning methods, and when would you apply them in data analytics?
Explain the concept of Markov Chains and its use in data modeling.
What is data normalization, and why is it important in machine learning?
What is a confusion matrix, and how do you calculate its various metrics?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What are the common types of clustering algorithms, and how do you choose between them?
How do you evaluate model stability and ensure it performs well over time?
How do you handle imbalanced datasets in classification models?
How do you select relevant features from a dataset to improve model accuracy?
Explain the concept of a data pipeline and its components in an analytics workflow.
Explain how overfitting and underfitting affect the performance of a machine learning model.
How would you apply cross-validation techniques in a deep learning model?
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