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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you perform outlier detection in data analytics?
RELATED INTERVIEW QUESTIONS
How do you handle imbalanced datasets in classification models?
How does feature scaling improve the performance of gradient-based learning algorithms?
What are the key differences between machine learning and deep learning models?
What is the role of unsupervised learning in anomaly detection?
How do you analyze multi-class classification problems with machine learning?
What is the difference between regression and classification models in machine learning?
How do you handle multicollinearity in regression models?
How does dimensionality reduction improve the performance of machine learning algorithms?
How do support vector machines (SVM) work, and why are they used in classification problems?
What are the challenges of data visualization, and how do you overcome them?
Explain how principal component analysis (PCA) works for dimensionality reduction.
How do you evaluate the effectiveness of an outlier detection model?
What are semantic networks, and how are they used in knowledge extraction from text?
What is the K-nearest neighbors algorithm, and when would you use it?
Explain the concept of bias-variance tradeoff in machine learning.
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