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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do support vector machines (SVM) work, and why are they used in classification problems?
RELATED INTERVIEW QUESTIONS
What are the different types of feature engineering methods and how do they impact model performance?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What is the role of Natural Language Processing (NLP) in data analytics?
What are decision trees, and how are they used in classification tasks?
Explain how an ensemble learning method like Random Forest improves model performance.
How would you assess the performance of a machine learning model over time?
How do you decide whether to use a parametric or non-parametric statistical method?
How do you select the best machine learning model for a given dataset?
What is the difference between deterministic and stochastic models in analytics?
How does the concept of cross-validation help prevent overfitting in machine learning models?
What is the role of Shannon entropy in feature selection?
How do you apply nearest neighbor algorithms for recommendation systems?
How do you deal with class imbalance in classification models?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How do you choose the best machine learning algorithm for a given dataset?
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