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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you handle multicollinearity in regression models?
RELATED INTERVIEW QUESTIONS
How do you optimize machine learning models for real-time decision-making?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How do you ensure reproducibility in your data analysis pipelines?
Explain the concept of Big Data and its challenges in the context of data analytics.
How do you use SQL joins in data analytics to integrate data from multiple sources?
How do you handle outliers in time-series data?
Explain the importance of hyperparameter tuning in improving machine learning models.
What is an anomaly detection system, and how would you implement it in Python?
What is the importance of using dropout in deep learning models?
What are the different methods for handling missing data in datasets?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What are the challenges of working with unstructured data, and how can they be overcome?
What is the curse of dimensionality and how does it affect machine learning models?
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