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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is causal inference, and how does it differ from correlation analysis?
RELATED INTERVIEW QUESTIONS
Explain how data integrity is maintained in a multi-source data environment.
What is ensemble learning, and why is it useful in machine learning?
What is the difference between batch normalization and layer normalization in deep learning?
What are the challenges in analyzing big data, and how do you mitigate them?
How do you perform feature importance analysis for model interpretability?
What is tuning in machine learning, and how do you apply it to hyperparameters?
What are semantic networks, and how are they used in knowledge extraction from text?
What is Bagging in machine learning, and how does it reduce overfitting?
How do you ensure that your data pipeline is scalable for large datasets?
Explain the concept of data wrangling and its importance in data analytics.
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
What are active learning methods, and when would you apply them in data analytics?
How would you handle an imbalanced dataset in a classification problem?
How would you deal with multicollinearity in a regression analysis?
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