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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
RELATED INTERVIEW QUESTIONS
Explain the importance of hyperparameter tuning in improving machine learning models.
How do you handle high cardinality categorical features in machine learning models?
How do you evaluate model robustness to different types of input data?
What is XGBoost, and how does it differ from other boosting algorithms?
How do you use data augmentation to improve a deep learning model’s performance?
How do you optimize the hyperparameters of machine learning algorithms?
What is the difference between KNN and SVM in classification tasks?
What are the differences between bagging and boosting in ensemble methods?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you deal with class imbalance in classification models?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is the Kurtosis of a distribution, and how do you interpret it?
What are the differences between deep learning and ensemble methods in predictive analytics?
What are the differences between Ridge and Lasso regression?
What are the ethical considerations when analyzing customer data in analytics?
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