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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the limitations of using random forests for classification tasks?
RELATED INTERVIEW QUESTIONS
How does regularization help to reduce overfitting in machine learning models?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How do you ensure that your machine learning model generalizes well on unseen data?
How do you identify and resolve data leakage in machine learning models?
What are the most important performance metrics for classification models?
Explain how you would approach feature engineering for a time-series dataset.
What is the importance of hyperparameter tuning in machine learning models?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
How do you perform feature engineering in time-series data?
What is the difference between classification and regression problems in analytics?
What is the ROC-AUC curve, and how do you interpret it?
What is the F1-score in classification tasks, and why is it important?
What are some effective techniques for handling missing values in large datasets?
What are the different types of feature engineering methods and how do they impact model performance?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
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