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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
RELATED INTERVIEW QUESTIONS
How do you ensure reproducibility in your data analysis pipelines?
What are the differences between bagging and boosting in ensemble methods?
What is the significance of hypothesis testing in data analysis?
How would you deal with multicollinearity in a regression analysis?
How do you build a predictive model for sales forecasting in e-commerce?
How do you optimize the performance of an algorithm when the dataset size is enormous?
How do you implement supervised learning for predictive modeling in healthcare analytics?
What is the purpose of a ROC curve in model evaluation?
What is the difference between classification and regression problems in machine learning?
What are the differences between logistic regression and linear regression?
What are the differences between Ridge and Lasso regression?
How do you deal with temporal dependencies in time-series forecasting?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
How do you perform feature engineering in time-series data?
Explain the concept of a precision-recall curve and when to use it.
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