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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 regression models?
RELATED INTERVIEW QUESTIONS
What is the difference between correlation and causality?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
Explain the concept of data wrangling and its importance in data analytics.
How do you optimize model performance in an unsupervised learning task?
What are the limitations of using random forests for classification tasks?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
Explain the concept of a precision-recall curve and when to use it.
What is the role of visualization in data analysis, and which Python libraries would you use?
How does feature scaling improve the convergence of gradient descent algorithms?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
What are some effective techniques for handling missing values in large datasets?
How do you handle imbalanced datasets in classification models?
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