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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the key differences between machine learning and deep learning models?
RELATED INTERVIEW QUESTIONS
Explain the difference between random forests and gradient boosting methods.
How would you assess the performance of a machine learning model over time?
How would you handle seasonality in a time-series forecasting problem?
How do you prevent model bias in machine learning algorithms?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
What are the benefits of using cloud analytics over on-premise solutions?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
What is Principal Component Analysis (PCA) used for in data reduction?
How do you implement feature selection techniques for high-dimensional data?
What is the K-nearest neighbors algorithm, and when would you use it?
What is the confusion matrix, and how does it help evaluate classification models?
What are LSTM networks, and how do they handle sequential data?
What are the best practices for analyzing real-time data streams?
What are convex optimization techniques, and why are they important in machine learning?
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