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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
RELATED INTERVIEW QUESTIONS
Explain how an ensemble learning method like Random Forest improves model performance.
What are the advantages of using XGBoost over other machine learning algorithms?
How do you implement feature selection techniques for high-dimensional data?
How do you select the best machine learning model for a given dataset?
How do you evaluate model robustness to different types of input data?
What are the most important performance metrics for classification models?
What is the difference between classification and regression problems in machine learning?
What is time-series analysis, and what techniques do you use for it?
Explain the concept of model overfitting and how can it be mitigated.
What are the limitations of using random forests for classification tasks?
Explain how principal component analysis (PCA) works for dimensionality reduction.
What is dimensionality reduction, and why is it important in data analytics?
What is data normalization, and why is it important in machine learning?
What is data streaming, and how is it used for real-time analytics?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
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