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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 handle multicollinearity in a dataset, and why is it important to address it before building a model?
RELATED INTERVIEW QUESTIONS
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
What is feature selection, and how does it impact the model’s performance?
Explain the difference between supervised and unsupervised learning with examples.
What are active learning methods, and when would you apply them in data analytics?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What is the role of unsupervised learning in data clustering?
What is the importance of data cleaning in data analytics, and what techniques would you use?
How do you perform root cause analysis using data analytics in business?
How do you ensure that your analysis is unbiased when working with large datasets?
What is data leakage, and how can you prevent it in your analytics projects?
What is data streaming, and how is it used for real-time analytics?
How would you assess the performance of a machine learning model over time?
What is the F1-score in classification tasks, and why is it important?
What is the role of data normalization in machine learning?
How do you evaluate model robustness to different types of input data?
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