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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 the K-means clustering algorithm, and how do you determine the optimal number of clusters?
RELATED INTERVIEW QUESTIONS
What are the types of biases in data analysis and how can they be minimized?
Explain the concept of model overfitting and how can it be mitigated.
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
What is the difference between batch processing and streaming in big data analytics?
How do you assess model accuracy when working with time-series data?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What are deep learning and its key differences from traditional machine learning methods?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
What is the K-nearest neighbors algorithm, and when would you use it?
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How do you apply gradient descent in training deep neural networks?
Explain the concept of reinforcement learning and its applications in analytics.
What is the learning rate in deep learning, and how do you optimize it?
What is gradient boosting and why is it more effective than traditional decision trees?
What are autoencoders, and how are they used in unsupervised learning tasks?
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