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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 Boosting in machine learning, and how does it work?
RELATED INTERVIEW QUESTIONS
What are some effective techniques for handling missing values in large datasets?
What is dimensionality reduction, and why is it important in data analytics?
What are convolutional neural networks (CNN) used for in image recognition?
How does bootstrapping improve model accuracy in statistical analysis?
What is the difference between precision and accuracy in the context of classification problems?
How do you apply gradient descent in training deep neural networks?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
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 latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
Explain the difference between data mining and data analytics.
How do you implement supervised learning for predictive modeling in healthcare analytics?
How would you handle seasonality in a time-series forecasting problem?
Explain how an ensemble learning method like Random Forest improves model performance.
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