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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is data normalization, and why is it important in machine learning?
RELATED INTERVIEW QUESTIONS
What is the importance of data cleaning in data analytics, and what techniques would you use?
Explain the concept of a precision-recall curve and when to use it.
What is the concept of Feature Extraction in computer vision analytics?
Explain the concept of data wrangling and its importance in data analytics.
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is the role of data imputation in handling missing data?
Explain how hyperparameter optimization improves machine learning model performance.
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
How do you evaluate model stability and ensure it performs well over time?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
What is Bagging in machine learning, and how does it reduce overfitting?
What is time-series analysis, and what techniques do you use for it?
What is the difference between deterministic and stochastic models in analytics?
How do you choose the best machine learning algorithm for a given dataset?
What is a confusion matrix, and how do you calculate its various metrics?
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