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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
How do you deal with temporal dependencies in time-series forecasting?
RELATED INTERVIEW QUESTIONS
What are gradient descent and its variants, and how are they used in machine learning?
What are data imputation techniques, and how are they used for handling missing data?
What are the different types of feature engineering methods and how do they impact model performance?
What are convex optimization techniques, and why are they important in machine learning?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
Explain the importance of hyperparameter tuning in improving machine learning models.
How does dimensionality reduction improve the performance of machine learning algorithms?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What is dimensionality reduction, and how does it improve model performance?
What is data lineage, and how does it help in tracking data flow?
How would you perform real-time data analysis using Kafka and Spark?
What is the significance of the ROC-AUC score in evaluating classification models?
What are the benefits of using cloud analytics over on-premise solutions?
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