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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
RELATED INTERVIEW QUESTIONS
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
Explain the concept of Markov Chains and its use in data modeling.
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
Explain how latent variable models work in data analytics.
How does feature scaling improve the performance of gradient-based learning algorithms?
How do you optimize the performance of an algorithm when the dataset size is enormous?
How does feature scaling improve the convergence of gradient descent algorithms?
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What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What is the importance of model interpretability in real-world data analytics applications?
What are the key differences between a decision tree and a random forest?
What is model drift, and how can it affect predictive analytics models?
How do you select the best machine learning model for a given dataset?
What is the Kurtosis of a distribution, and how do you interpret it?
How do you ensure that your machine learning model generalizes well on unseen data?
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