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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
How would you handle seasonality in a time-series forecasting problem?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What are the differences between logistic regression and linear regression?
What is overfitting, and how can it be avoided using regularization techniques?
How do support vector machines (SVM) work, and why are they used in classification problems?
What are the main differences between batch processing and real-time processing in data analytics?
What is the role of Shannon entropy in feature selection?
What is the importance of heteroscedasticity in regression models?
How do you perform root cause analysis using data analytics in business?
What is the role of unsupervised learning in data clustering?
How do you handle multivariate time series data for forecasting?
What is ensemble learning, and why is it useful in machine learning?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is data streaming, and how is it used for real-time analytics?
Explain the importance of hyperparameter tuning in improving machine learning models.
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