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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
How does regularization help to reduce overfitting in machine learning models?
How do you evaluate model robustness to different types of input data?
What is the purpose of a ROC curve in model evaluation?
What are autoencoders, and how are they used in unsupervised learning tasks?
Explain the difference between data mining and data analytics.
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
How do you balance the trade-off between bias and variance in machine learning?
How would you optimize the performance of a recommendation system for personalized product suggestions?
What are the primary steps involved in preparing data for a machine learning model?
How would you evaluate the performance of a recommendation system?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
How do you perform dimensionality reduction, and why is it essential in machine learning?
How do you address skewed data distributions in machine learning models?
What is Principal Component Analysis (PCA) used for in data reduction?
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