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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What is model drift, and how can it affect predictive analytics models?
RELATED INTERVIEW QUESTIONS
Explain the concept of a data pipeline and its components in an analytics workflow.
What are the differences between deep learning and ensemble methods in predictive analytics?
What is dimensionality reduction, and how does it improve model performance?
How do you evaluate the predictive accuracy of a machine learning model?
What is AdaBoost, and how does it improve the performance of weak learners?
What is reinforcement learning, and where is it applied in business analytics?
What is the difference between classification and regression problems in machine learning?
What is the significance of hyperparameter tuning in optimizing machine learning models?
What are deep learning and its key differences from traditional machine learning methods?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
What are the advantages of support vector machines (SVM) in classification tasks?
What are data imputation techniques, and how are they used for handling missing data?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
Explain the concept of ensemble learning and its applications in classification and regression problems.
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