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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 significance of feature importance in decision tree algorithms?
RELATED INTERVIEW QUESTIONS
What are the different types of machine learning models used for predictive analytics?
What is the importance of heteroscedasticity in regression models?
How do you deal with class imbalance in classification models?
What is the role of Natural Language Processing (NLP) in data analytics?
How do you ensure reproducibility in your data analysis pipelines?
How do you balance the trade-off between bias and variance in machine learning?
What is gradient boosting and why is it more effective than traditional decision trees?
What are gradient descent and its variants, and how are they used in machine learning?
How do you calculate the precision, recall, and F1-score for a binary classification model?
How do you perform outlier detection using machine learning techniques?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How do you detect data imbalances in a classification problem and address them?
Explain the concept of a data pipeline and its components in an analytics workflow.
How do you optimize an ML model when the dataset is imbalanced?
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