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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 the K-nearest neighbors algorithm, and when would you use it?
RELATED INTERVIEW QUESTIONS
What is the difference between deterministic and stochastic models in analytics?
How do you evaluate model robustness to different types of input data?
What is the role of unsupervised learning in anomaly detection?
How do you address skewed data distributions in machine learning models?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
What are some effective techniques for handling missing values in large datasets?
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
How do you assess the impact of outliers in your data and model predictions?
What is an anomaly detection system, and how would you implement it in Python?
Explain how overfitting and underfitting affect the performance of a machine learning model.
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 recurrent neural networks (RNNs), and how are they used in sequential data analysis?
How would you handle noisy data when training a machine learning model?
What is the ROC-AUC curve, and how do you interpret it?
How do you apply data augmentation in deep learning for image processing?
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