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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
RELATED INTERVIEW QUESTIONS
What is the role of visualization in data analysis, and which Python libraries would you use?
How do you identify and resolve data leakage in machine learning models?
Explain the concept of ensemble learning and its applications in classification and regression problems.
Explain the Naive Bayes algorithm and its application in data analytics.
What is the F1-score in classification tasks, and why is it important?
How do you ensure that your machine learning model generalizes well on unseen data?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
What is an anomaly detection system, and how would you implement it in Python?
How do you select the best machine learning model for a given dataset?
What are support vector machines (SVM) and how do they classify data?
What is the role of Shannon entropy in feature selection?
What is the difference between classification and regression problems in analytics?
What are LSTM networks, and how do they handle sequential data?
How do you evaluate model robustness to different types of input data?
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