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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the K-nearest neighbors algorithm, and when would you use it?
RELATED INTERVIEW QUESTIONS
How do you evaluate model robustness to different types of input data?
What is Gaussian Naive Bayes, and when would you use it in classification?
Explain the concept of hyperparameter tuning and its role in model optimization.
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
How do you evaluate the effectiveness of a recommendation system?
What are the advantages and disadvantages of using deep learning for structured data analysis?
How do you assess the impact of outliers in your data and model predictions?
What is the importance of data cleaning in data analytics, and what techniques would you use?
What is data integrity, and how is it maintained in a database?
What is data lineage, and how does it help in tracking data flow?
How do you handle and process categorical data in machine learning algorithms?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What is the concept of Feature Extraction in computer vision analytics?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
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