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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is the F1-score in classification tasks, and why is it important?
RELATED INTERVIEW QUESTIONS
What are the different types of feature engineering methods and how do they impact model performance?
What are convex optimization techniques, and why are they important in machine learning?
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
How do you assess the impact of outliers in your data and model predictions?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is the curse of dimensionality, and how does it impact data analysis?
What is the difference between parametric and non-parametric tests in hypothesis testing?
How do you implement feature selection techniques for high-dimensional data?
How do you handle imbalanced datasets in classification models?
Explain the concept of model overfitting and how can it be mitigated.
How do you decide whether to use a parametric or non-parametric statistical method?
What are active learning methods, and when would you apply them in data analytics?
Explain the concept of hyperparameter tuning and its role in model optimization.
Explain how principal component analysis (PCA) works for dimensionality reduction.
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