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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the importance of using dropout in deep learning models?
RELATED INTERVIEW QUESTIONS
How do you handle high-cardinality categorical features in machine learning models?
Explain the concept of data wrangling and its importance in data analytics.
How do you use bootstrapping in model evaluation, and what are its advantages?
What is feature selection, and how does it impact the model’s performance?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
Explain the concept of Big Data and its challenges in the context of data analytics.
What are the key differences between supervised and unsupervised learning in data analytics?
How do you evaluate the predictive accuracy of a machine learning model?
How would you perform real-time data analysis using Kafka and Spark?
Explain how principal component analysis (PCA) works for dimensionality reduction.
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
What are the differences between logistic regression and linear regression?
What is the difference between batch processing and streaming in big data analytics?
What is the curse of dimensionality, and how does it impact data analysis?
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