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HTML
CSS
Python
PHP
MySQL
Linux
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 are the common pitfalls when working with real-time data in analytics?
What are convex optimization techniques, and why are they important in machine learning?
What is linear programming, and how does it relate to data optimization problems?
What is Gaussian Naive Bayes, and when would you use it in classification?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
Explain the concept of reinforcement learning and its applications in analytics.
What is data integrity, and how is it maintained in a database?
How do you handle multivariate time series data for forecasting?
How would you evaluate and select the best machine learning model for a specific use case?
What are the challenges of working with unstructured data, and how can they be overcome?
How does feature scaling improve the convergence of gradient descent algorithms?
How do you optimize model performance in an unsupervised learning task?
What is data leakage, and how can you prevent it in your analytics projects?
What are the steps involved in building a recommendation system for e-commerce?
How do you ensure that your machine learning model generalizes well on unseen data?
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