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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is Gaussian Naive Bayes, and when would you use it in classification?
RELATED INTERVIEW QUESTIONS
Explain the Naive Bayes algorithm and its application in data analytics.
How do you use SQL to perform data manipulation and aggregation in an analytics project?
How do you interpret the results of cluster analysis in market research?
What is overfitting, and how can it be avoided using regularization techniques?
How do you optimize an ML model when the dataset is imbalanced?
How do you ensure that your analysis is unbiased when working with large datasets?
What are some effective techniques for handling missing values in large datasets?
How do you assess the impact of outliers in your data and model predictions?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
How do you evaluate the predictive accuracy of a machine learning model?
What is the Kurtosis of a distribution, and how do you interpret it?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What are LSTM networks, and how do they handle sequential data?
How do you implement automated machine learning (AutoML) tools in your workflow?
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