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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you deal with multicollinearity in a regression analysis?
RELATED INTERVIEW QUESTIONS
How do support vector machines (SVM) work, and why are they used in classification problems?
What are the limitations of using random forests for classification tasks?
What are the advantages of using XGBoost over other machine learning algorithms?
How do you handle multicollinearity in regression models?
What are the differences between logistic regression and linear regression?
What are the challenges of data visualization, and how do you overcome them?
How do you use data augmentation to improve a deep learning model’s performance?
What is the F1-score in classification tasks, and why is it important?
How does feature scaling improve the performance of gradient-based learning algorithms?
How do you use decision trees for feature selection in machine learning?
What is Gaussian Naive Bayes, and when would you use it in classification?
What are the key differences between supervised and unsupervised learning in data analytics?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What is data anonymization, and why is it essential in data analytics?
How do you deal with temporal dependencies in time-series forecasting?
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