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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
RELATED INTERVIEW QUESTIONS
What are the differences between deep learning and ensemble methods in predictive analytics?
How do you handle categorical data in machine learning models?
How do you deal with skewed data in regression models?
What are convolutional neural networks (CNN) used for in image recognition?
How does the k-means clustering algorithm work and when should it be used?
How do you evaluate the predictive accuracy of a machine learning model?
How does bootstrapping improve model accuracy in statistical analysis?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What are the steps involved in building a recommendation system for e-commerce?
How do you handle high-cardinality categorical features in machine learning models?
What is deep learning and how is it used for image recognition?
What is feature selection, and how does it impact the model’s performance?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is AdaBoost, and how does it improve the performance of weak learners?
How do you ensure that your data pipeline is scalable for large datasets?
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