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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 importance of data cleaning in data analytics, and what techniques would you use?
RELATED INTERVIEW QUESTIONS
Explain the concept of ensemble learning and its applications in classification and regression problems.
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
What is data anonymization, and why is it essential in data analytics?
How does the concept of cross-validation help prevent overfitting in machine learning models?
What are the differences between LSTM and GRU networks in deep learning?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is data lineage, and how does it help in tracking data flow?
What is the significance of data encryption in data privacy and analytics?
How do you deal with class imbalance in classification models?
What is the difference between KNN and SVM in classification tasks?
What is stratified sampling, and when should it be used in machine learning?
What is model drift, and how can it affect predictive analytics models?
What is gradient boosting and why is it more effective than traditional decision trees?
What is the significance of the ROC-AUC score in evaluating classification models?
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