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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you handle high cardinality categorical features in machine learning models?
RELATED INTERVIEW QUESTIONS
How does ensemble learning work, and when should it be applied?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
Explain the importance of hyperparameter tuning in improving machine learning models.
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
How do you perform outlier detection in data analytics?
What is the difference between random forests and decision trees?
How do you prevent model bias in machine learning algorithms?
What are support vector machines (SVM) and how do they classify data?
What is the role of feature scaling in improving machine learning model accuracy?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
What is an anomaly detection system, and how would you implement it in Python?
Explain how backpropagation works in training neural networks.
What is the significance of A/B testing in optimizing data-driven decisions?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How would you deal with multicollinearity in a regression analysis?
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