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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you use data augmentation to improve a deep learning model’s performance?
RELATED INTERVIEW QUESTIONS
What is the significance of the ROC-AUC score in evaluating classification models?
What is the significance of A/B testing in optimizing data-driven decisions?
Explain the difference between data mining and data analytics.
What are support vector machines (SVM) and how do they classify data?
How do you apply data smoothing techniques for time-series forecasting?
What is the importance of hyperparameter tuning in machine learning models?
What are the types of biases in data analysis and how can they be minimized?
What is the role of Shannon entropy in feature selection?
What is multi-objective optimization, and how does it differ from single-objective optimization?
How do you choose the best machine learning algorithm for a given dataset?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
What is the importance of model interpretability in real-world data analytics applications?
How do you select relevant features from a dataset to improve model accuracy?
How would you handle an imbalanced dataset in a classification problem?
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