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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
RELATED INTERVIEW QUESTIONS
Explain how latent variable models work in data analytics.
How do you deal with temporal dependencies in time-series forecasting?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What is the accuracy paradox and how does it affect model evaluation?
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 difference between classification and regression problems in machine learning?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
What is the role of visualization in data analysis, and which Python libraries would you use?
What is Bagging in machine learning, and how does it reduce overfitting?
How do you select relevant features from a dataset to improve model accuracy?
How do you perform outlier detection in data analytics?
How do you apply data augmentation in deep learning for image processing?
What is the significance of hypothesis testing in data analysis?
What is AdaBoost, and how does it improve the performance of weak learners?
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