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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
Explain the role of backpropagation in training neural networks.
How do you use SQL joins in data analytics to integrate data from multiple sources?
Explain the difference between supervised and unsupervised learning with examples.
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
Explain the importance of hyperparameter tuning in improving machine learning models.
What are the common pitfalls when working with real-time data in analytics?
How would you handle an imbalanced dataset in a classification problem?
How would you assess the performance of a machine learning model over time?
How does feature scaling improve the performance of gradient-based learning algorithms?
Explain data leakage and how to prevent it in machine learning models.
What is the difference between parametric and non-parametric tests in hypothesis testing?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
What is the difference between batch processing and streaming in big data analytics?
How do you identify and resolve data leakage in machine learning models?
What is the ROC-AUC curve, and how do you interpret it?
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