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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you ensure reproducibility in your data analysis pipelines?
RELATED INTERVIEW QUESTIONS
Explain the concept of data wrangling and its importance in data analytics.
What is data integrity, and how is it maintained in a database?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What is time-series analysis, and what techniques do you use for it?
What are LSTM networks, and how do they handle sequential data?
How would you visualize high-dimensional data using dimensionality reduction techniques?
What is the importance of hyperparameter tuning in machine learning models?
What are the key differences between supervised and unsupervised learning in data analytics?
How do you handle high-dimensional data and reduce the risk of overfitting?
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How do you assess the impact of outliers in your data and model predictions?
What are the differences between deep learning and ensemble methods in predictive analytics?
What is the difference between batch processing and streaming in big data analytics?
What is the significance of data encryption in data privacy and analytics?
How do you handle unstructured data in analytics models?
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