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HTML
CSS
Python
PHP
MySQL
Linux
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 how you would approach feature engineering for a time-series dataset.
What is feature selection, and how does it impact the model’s performance?
What is the difference between classification and regression problems in machine learning?
What is the purpose of a ROC curve in model evaluation?
What is the K-nearest neighbors algorithm, and when would you use it?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
Explain the difference between supervised and unsupervised learning with examples.
How do you select relevant features from a dataset to improve model accuracy?
What is data lineage, and how does it help in tracking data flow?
What is the role of Natural Language Processing (NLP) in data analytics?
How do you use time-series decomposition to analyze seasonal trends?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What is time-series analysis, and what techniques do you use for it?
Explain the concept of ensemble learning and its applications in classification and regression problems.
What is the role of cloud computing in enabling data analytics at scale?
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