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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is regression analysis, and how do you apply it in business analytics?
RELATED INTERVIEW QUESTIONS
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
How do you calculate the precision, recall, and F1-score for a binary classification model?
How does data governance ensure the quality and security of your analytics outputs?
Explain the difference between supervised and unsupervised learning with examples.
Explain the difference between data mining and data analytics.
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
What is ensemble learning, and why is it useful in machine learning?
What is feature importance, and how do you evaluate it for machine learning models?
What is the bootstrap method, and how is it used for confidence interval estimation?
What are convolutional neural networks (CNN) used for in image recognition?
How do you perform feature engineering in time-series data?
How do you optimize model performance in an unsupervised learning task?
Explain data leakage and how to prevent it in machine learning models.
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What are the primary steps involved in preparing data for a machine learning model?
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