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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 evaluate the stability of a clustering algorithm over different datasets?
RELATED INTERVIEW QUESTIONS
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
How does dimensionality reduction improve the performance of machine learning algorithms?
What is linear programming, and how does it relate to data optimization problems?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What are the limitations of using random forests for classification tasks?
How do you handle and process categorical data in machine learning algorithms?
What is the role of data enrichment in data analytics, and how is it achieved?
What is multi-objective optimization, and how does it differ from single-objective optimization?
What are semantic networks, and how are they used in knowledge extraction from text?
How do you balance the trade-off between bias and variance in machine learning?
Explain the concept of data wrangling and its importance in data analytics.
What is Boosting in machine learning, and how does it work?
How do you handle missing data in large datasets using imputation techniques?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
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