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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 role of feature scaling in improving the performance of machine learning algorithms.
RELATED INTERVIEW QUESTIONS
Explain the difference between supervised and unsupervised learning with examples.
What is tuning in machine learning, and how do you apply it to hyperparameters?
How do you evaluate model performance when the dataset is small and unbalanced?
What is dimensionality reduction, and why is it important in data analytics?
How do you perform feature scaling, and what are its benefits in machine learning?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is Data Analytics, and how is it used to make better business decisions? Explain its key techniques and applications with examples.
Explain the difference between data mining and data analytics.
How would you assess the performance of a machine learning model over time?
Explain the role of backpropagation in training neural networks.
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
Explain the difference between bagging and boosting techniques.
What are the advantages of using deep learning over traditional machine learning in analytics?
Explain the concept of hyperparameter tuning and its role in model optimization.
What is the importance of data privacy in analytics, and how do you ensure compliance?
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