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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What are some effective techniques for handling missing values in large datasets?
RELATED INTERVIEW QUESTIONS
How does feature scaling improve the performance of gradient-based learning algorithms?
How do you evaluate the effectiveness of an outlier detection model?
What is the role of unsupervised learning in data clustering?
What is the difference between random forests and decision trees?
How do you handle imbalanced datasets in classification models?
How do you handle unstructured data in analytics models?
How would you implement Text Classification using machine learning algorithms?
How do you handle categorical data in machine learning models?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is Gaussian Naive Bayes, and when would you use it in classification?
Explain the concept of a data pipeline and its components in an analytics workflow.
What is the importance of data cleaning in data analytics, and what techniques would you use?
How do you handle high-dimensional data and reduce the risk of overfitting?
How do you address skewed data distributions in machine learning models?
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