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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are support vector machines (SVM) and how do they classify data?
RELATED INTERVIEW QUESTIONS
What is time-series forecasting, and how do you handle seasonality in models?
What is the Kurtosis of a distribution, and how do you interpret it?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
How do you apply Shannon entropy in data analytics for feature selection?
How do you handle categorical data in machine learning models?
How do you handle high-cardinality categorical features in machine learning models?
What is the significance of the ROC-AUC score in evaluating classification models?
What are LSTM networks, and how do they handle sequential data?
What is the importance of data cleaning in data analytics, and what techniques would you use?
What are the advantages of using deep learning over traditional machine learning in analytics?
How would you handle noisy data when training a machine learning model?
How do you balance the trade-off between bias and variance in machine learning?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How do you select the best machine learning model for a given dataset?
How do you analyze text data using sentiment analysis techniques?
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