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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is linear programming, and how does it relate to data optimization problems?
RELATED INTERVIEW QUESTIONS
What is the significance of data encryption in data privacy and analytics?
What is the difference between parametric and non-parametric tests in hypothesis testing?
Explain the concept of data wrangling and its importance in data analytics.
What is the significance of hyperparameter tuning in optimizing machine learning models?
What is the curse of dimensionality, and how does it impact data analysis?
How do you prevent model bias in machine learning algorithms?
How do you perform outlier detection using machine learning techniques?
Explain how hyperparameter optimization improves machine learning model performance.
How do you apply data augmentation in deep learning for image processing?
How do you analyze multi-class classification problems with machine learning?
What is a confusion matrix, and how do you calculate its various metrics?
How does feature scaling improve the convergence of gradient descent algorithms?
What are deep learning and its key differences from traditional machine learning methods?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What is the importance of data preprocessing in machine learning, and what steps are involved?
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