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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 optimize the performance of an algorithm when the dataset size is enormous?
RELATED INTERVIEW QUESTIONS
How do you identify and resolve data leakage in machine learning models?
What is the role of feature scaling in improving machine learning model accuracy?
How do you deal with temporal dependencies in time-series forecasting?
How do you ensure reproducibility in your data analysis pipelines?
How do you prevent model bias in machine learning algorithms?
How do you apply nearest neighbor algorithms for recommendation systems?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is feature importance, and how do you evaluate it for machine learning models?
Explain the concept of Big Data and its challenges in the context of data analytics.
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What is the role of data governance in an organization’s analytics framework?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What are the types of biases in data analysis and how can they be minimized?
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