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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 data anonymization, and why is it essential in data analytics?
RELATED INTERVIEW QUESTIONS
How do you measure the generalization error of a machine learning model?
How do you handle high-dimensional data and reduce the risk of overfitting?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
What are LSTM networks, and how do they handle sequential data?
What is the difference between classification and regression problems in machine learning?
Explain the concept of data wrangling and its importance in data analytics.
What is stratified sampling, and when should it be used in machine learning?
What are some effective techniques for handling missing values in large datasets?
Explain the concept of a data pipeline and its components in an analytics workflow.
What is the curse of dimensionality and how does it affect machine learning models?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
How would you handle an imbalanced dataset in a classification problem?
What is the confusion matrix, and how does it help evaluate classification models?
How would you analyze customer churn using data analytics?
What is the significance of the ROC-AUC score in evaluating classification models?
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