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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What are support vector machines (SVM) and how do they classify data?
RELATED INTERVIEW QUESTIONS
What are the differences between deep learning and ensemble methods in predictive analytics?
What is the difference between batch processing and streaming in big data analytics?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is the difference between segmentation and clustering in data analytics?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
What is Collaborative Filtering, and how is it used in building recommendation systems?
How do you use bootstrapping in model evaluation, and what are its advantages?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What are deep learning and its key differences from traditional machine learning methods?
How do you perform outlier detection in data analytics?
How do you evaluate model stability and ensure it performs well over time?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What are the different types of feature engineering methods and how do they impact model performance?
What is the role of cloud computing in enabling data analytics at scale?
What is the curse of dimensionality, and how does it impact data analysis?
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