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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are support vector machines (SVM) and how do they classify data?
RELATED INTERVIEW QUESTIONS
How does regularization help to reduce overfitting in machine learning models?
What is the difference between correlation and causality?
What are the differences between bagging and boosting in ensemble methods?
What is the role of data enrichment in data analytics, and how is it achieved?
How do you handle high cardinality categorical features in machine learning models?
How do you handle imbalanced datasets in classification models?
What are deep learning and its key differences from traditional machine learning methods?
How would you handle noisy data when training a machine learning model?
Explain the concept of model overfitting and how can it be mitigated.
Explain the concept of hyperparameter tuning and its role in model optimization.
How does feature scaling improve the convergence of gradient descent algorithms?
What is data integrity, and how is it maintained in a database?
How do you evaluate model performance when the dataset is small and unbalanced?
What are time-series cross-validation techniques, and how are they applied in forecasting?
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
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