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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How does deep reinforcement learning work, and where can it be applied in business analytics?
RELATED INTERVIEW QUESTIONS
What is the role of feature scaling in improving machine learning model accuracy?
What is the concept of Feature Extraction in computer vision analytics?
Explain the difference between data mining and data analytics.
How do you perform feature scaling, and what are its benefits in machine learning?
How do support vector machines (SVM) work, and why are they used in classification problems?
How do you deal with large-scale, unstructured data in text analytics?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What are data imputation techniques, and how are they used for handling missing data?
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
How do you perform dimensionality reduction, and why is it essential in machine learning?
How do you choose the best machine learning algorithm for a given dataset?
What is the difference between correlation and causality?
How does ensemble learning work, and when should it be applied?
How do you implement feature selection techniques for high-dimensional data?
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
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