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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 gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
RELATED INTERVIEW QUESTIONS
What is the difference between segmentation and clustering in data analytics?
What are some effective techniques for handling missing values in large datasets?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How would you visualize high-dimensional data using dimensionality reduction techniques?
What are the best practices for analyzing real-time data streams?
What is the role of deep learning in modern analytics and business decision-making?
What is a confusion matrix, and how do you calculate its various metrics?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
What is the accuracy paradox and how does it affect model evaluation?
How do you assess the impact of outliers in your data and model predictions?
How would you optimize the performance of a recommendation system for personalized product suggestions?
How would you evaluate model performance in an imbalanced dataset problem?
What is the importance of model interpretability in real-world data analytics applications?
What are the common pitfalls when working with real-time data in analytics?
What is reinforcement learning, and where is it applied in business analytics?
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