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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is data streaming, and how is it used for real-time analytics?
RELATED INTERVIEW QUESTIONS
What is data normalization, and why is it important in machine learning?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
How do you perform feature engineering in time-series data?
How do you assess model accuracy when working with time-series data?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What is the role of visualization in data analysis, and which Python libraries would you use?
What is the significance of hypothesis testing in data analysis?
What are the advantages of using XGBoost over other machine learning algorithms?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
How do you implement a Markov Chain for predictive analytics in customer behavior?
What is the difference between batch normalization and layer normalization in deep learning?
How do you evaluate the stability of a clustering algorithm over different datasets?
How do you handle high-velocity data in real-time analytics applications?
Explain the difference between supervised and unsupervised learning with examples.
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