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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
RELATED INTERVIEW QUESTIONS
Explain the concept of ensemble learning and its applications in classification and regression problems.
How do you handle high-dimensional data and reduce the risk of overfitting?
What is the significance of A/B testing in optimizing data-driven decisions?
Explain the concept of data wrangling and its importance in data analytics.
What is the importance of heteroscedasticity in regression models?
How do you perform sentiment analysis on social media data?
What is data integrity, and how is it maintained in a database?
What is the importance of hyperparameter tuning in machine learning models?
How do you select the best machine learning model for a given dataset?
What is the role of data enrichment in data analytics, and how is it achieved?
What are the differences between LSTM and GRU networks in deep learning?
How do you use SQL to perform data manipulation and aggregation in an analytics project?
What is the significance of data encryption in data privacy and analytics?
What is feature importance, and how do you evaluate it for machine learning models?
What is linear programming, and how does it relate to data optimization problems?
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