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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 handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
RELATED INTERVIEW QUESTIONS
Explain how overfitting and underfitting affect the performance of a machine learning model.
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
Explain the concept of model overfitting and how can it be mitigated.
Explain the concept of a precision-recall curve and when to use it.
What is overfitting, and how can it be avoided using regularization techniques?
What is Data Analytics, and how is it used to make better business decisions? Explain its key techniques and applications with examples.
How would you measure the impact of an analytics model in a business setting?
What is the difference between classification and regression problems in machine learning?
Explain the difference between data mining and data analytics.
How do you handle missing data in large datasets using imputation techniques?
What is the role of Natural Language Processing (NLP) in data analytics?
What is a confusion matrix, and how do you calculate its various metrics?
What is AdaBoost, and how does it improve the performance of weak learners?
How would you perform outlier detection using Isolation Forest?
What are the differences between bagging and boosting in ensemble methods?
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