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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the key differences between machine learning and deep learning models?
RELATED INTERVIEW QUESTIONS
What is feature importance, and how do you evaluate it for machine learning models?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
How do you handle imbalanced datasets in classification models?
What are semantic networks, and how are they used in knowledge extraction from text?
How does deep reinforcement learning work, and where can it be applied in business analytics?
What is the purpose of a ROC curve in model evaluation?
How do you perform root cause analysis using data analytics in business?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
What is the importance of model interpretability in real-world data analytics applications?
Explain how latent variable models work in data analytics.
Explain how you would approach feature engineering for a time-series dataset.
How do you evaluate the effectiveness of an outlier detection model?
How does the concept of cross-validation help prevent overfitting in machine learning models?
How do you assess the impact of outliers in your data and model predictions?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
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