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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are data imputation techniques, and how are they used for handling missing data?
RELATED INTERVIEW QUESTIONS
What is the significance of A/B testing in optimizing data-driven decisions?
What is stratified sampling, and when should it be used in machine learning?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How do you handle missing data in large datasets using imputation techniques?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
How do you ensure that your data pipeline is scalable for large datasets?
How would you implement a recommendation system for e-commerce websites?
What is data normalization, and why is it important in machine learning?
How do you optimize machine learning models for real-time decision-making?
What are deep learning and its key differences from traditional machine learning methods?
What is feature selection, and how does it impact the model’s performance?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
How do you use clustering for market segmentation in customer analytics?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What are the types of biases in data analysis and how can they be minimized?
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