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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
RELATED INTERVIEW QUESTIONS
What is the role of feature scaling in improving machine learning model accuracy?
How do support vector machines (SVM) work, and why are they used in classification problems?
How would you handle an imbalanced dataset in a classification problem?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
How would you apply cross-validation to avoid overfitting in a machine learning model?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
What is the purpose of a ROC curve in model evaluation?
What is the concept of Feature Extraction in computer vision analytics?
What is the importance of data privacy in analytics, and how do you ensure compliance?
What are data imputation techniques, and how are they used for handling missing data?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is the role of unsupervised learning in data clustering?
How do you handle missing data in large datasets using imputation techniques?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is the ROC-AUC curve, and how do you interpret it?
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