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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is Principal Component Analysis (PCA) used for in data reduction?
RELATED INTERVIEW QUESTIONS
What is time-series forecasting, and how do you approach it using machine learning algorithms?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
How do you assess model accuracy when working with time-series data?
What is the ROC-AUC curve, and how do you interpret it?
What are convolutional neural networks (CNN) used for in image recognition?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
What is the difference between parametric and non-parametric tests in hypothesis testing?
How would you implement a recommendation engine for movies using collaborative filtering?
What are the differences between deep learning and ensemble methods in predictive analytics?
What is Boosting in machine learning, and how does it work?
How do you perform unsupervised learning for customer segmentation?
How do you perform feature importance analysis for model interpretability?
Explain the concept of ensemble learning and its applications in classification and regression problems.
What is the purpose of a ROC curve in model evaluation?
What is AdaBoost, and how does it improve the performance of weak learners?
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