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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are deep learning and its key differences from traditional machine learning methods?
RELATED INTERVIEW QUESTIONS
What is ensemble learning, and why is it useful in machine learning?
What are decision trees, and how are they used in classification tasks?
What is stratified sampling, and when should it be used in machine learning?
What are the differences between deep learning and ensemble methods in predictive analytics?
How do you use SQL joins in data analytics to integrate data from multiple sources?
What is linear programming, and how does it relate to data optimization problems?
How do you implement a Markov Chain for predictive analytics in customer behavior?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How do you handle a large dataset that does not fit into memory?
What is the curse of dimensionality, and how does it impact data analysis?
Explain how data integrity is maintained in a multi-source data environment.
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
How do you handle imbalanced datasets in classification models?
What are the most important performance metrics for classification models?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
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