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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 ensemble learning, and why is it useful in machine learning?
RELATED INTERVIEW QUESTIONS
Explain how an ensemble learning method like Random Forest improves model performance.
Explain the concept of hyperparameter tuning and its role in model optimization.
How do you handle high cardinality categorical features in machine learning models?
What is the difference between correlation and causality?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
Explain how principal component analysis (PCA) works for dimensionality reduction.
How do you select relevant features from a dataset to improve model accuracy?
What is dimensionality reduction, and why is it important in data analytics?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
What are the differences between logistic regression and linear regression?
What are gradient descent and its variants, and how are they used in machine learning?
What is AdaBoost, and how does it improve the performance of weak learners?
Explain the difference between random forests and gradient boosting methods.
What is linear programming, and how does it relate to data optimization problems?
What is Principal Component Analysis (PCA) used for in data reduction?
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