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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are some effective techniques for handling missing values in large datasets?
RELATED INTERVIEW QUESTIONS
How do you evaluate the predictive accuracy of a machine learning model?
What is the concept of feature extraction in computer vision?
Explain how an ensemble learning method like Random Forest improves model performance.
What is the role of Natural Language Processing (NLP) in data analytics?
What are active learning methods, and when would you apply them in data analytics?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is dimensionality reduction, and how does it improve model performance?
Explain how you would approach feature engineering for a time-series dataset.
What is the importance of data cleaning in data analytics, and what techniques would you use?
What is XGBoost, and how does it differ from other boosting algorithms?
How does ensemble learning work, and when should it be applied?
How would you measure the impact of an analytics model in a business setting?
Explain how hyperparameter optimization improves machine learning model performance.
Explain the Naive Bayes algorithm and its application in data analytics.
What are support vector machines (SVM) and how do they classify data?
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