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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you deal with multicollinearity in a regression analysis?
RELATED INTERVIEW QUESTIONS
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
Explain the concept of hyperparameter tuning and its role in model optimization.
Explain the difference between random forests and gradient boosting methods.
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
Explain the importance of hyperparameter tuning in improving machine learning models.
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
How would you optimize the performance of a recommendation system for personalized product suggestions?
What is the difference between classification and regression problems in analytics?
How would you implement Text Classification using machine learning algorithms?
Explain the difference between bagging and boosting techniques.
What is AdaBoost, and how does it improve the performance of weak learners?
How would you apply cross-validation to avoid overfitting in a machine learning model?
What is an anomaly detection system, and how would you implement it in Python?
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