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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the importance of data preprocessing in machine learning, and what steps are involved?
RELATED INTERVIEW QUESTIONS
Explain the concept of bias-variance tradeoff in machine learning.
What are support vector machines (SVM) and how do they classify data?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
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How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
What is feature selection, and how does it impact the model’s performance?
How do you handle heteroscedasticity in regression models?
What are the advantages of using deep learning over traditional machine learning in analytics?
What is data anonymization, and why is it essential in data analytics?
What is the difference between precision and accuracy in the context of classification problems?
How do you perform unsupervised learning for customer segmentation?
What are the differences between LSTM and GRU networks in deep learning?
What is the bootstrap method, and how is it used for confidence interval estimation?
How do you perform feature importance analysis for model interpretability?
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