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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is regression analysis, and how do you apply it in business analytics?
RELATED INTERVIEW QUESTIONS
Explain how you would approach feature engineering for a time-series dataset.
How do you ensure reproducibility in your data analysis pipelines?
What are LSTM networks, and how do they handle sequential data?
How would you implement Text Classification using machine learning algorithms?
How do you use decision trees for feature selection in machine learning?
How do you apply data smoothing techniques for time-series forecasting?
How do you evaluate model robustness to different types of input data?
Explain how hyperparameter optimization improves machine learning model performance.
Explain the difference between bagging and boosting techniques.
What is feature selection, and how does it impact the model’s performance?
Explain how overfitting and underfitting affect the performance of a machine learning model.
Explain the concept of gradient boosting and its advantages over traditional decision trees.
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
What is the role of Natural Language Processing (NLP) in data analytics?
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