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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How does feature scaling improve the performance of gradient-based learning algorithms?
RELATED INTERVIEW QUESTIONS
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
What is the role of Markov chains in predictive analytics for customer behavior?
What is Gaussian Naive Bayes, and when would you use it in classification?
What is the bootstrap method, and how is it used for confidence interval estimation?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
What are the most important performance metrics for classification models?
How does ensemble learning work, and when should it be applied?
How do you evaluate the effectiveness of an outlier detection model?
How do you use decision trees for feature selection in machine learning?
How do you optimize the hyperparameters of machine learning algorithms?
What is the role of feature scaling in improving machine learning model accuracy?
What is model drift, and how can it affect predictive analytics models?
How do you ensure that your analysis is unbiased when working with large datasets?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
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