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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you ensure reproducibility in your data analysis pipelines?
RELATED INTERVIEW QUESTIONS
How do you address skewed data distributions in machine learning models?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How do you assess model accuracy when working with time-series data?
What is the purpose of a ROC curve in model evaluation?
How do you optimize the hyperparameters of machine learning algorithms?
How does deep reinforcement learning work, and where can it be applied in business analytics?
How do you use SQL joins in data analytics to integrate data from multiple sources?
Explain data leakage and how to prevent it in machine learning models.
Explain how an ensemble learning method like Random Forest improves model performance.
What are the differences between logistic regression and linear regression?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
What is the ROC-AUC curve, and how do you interpret it?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What are semantic networks, and how are they used in knowledge extraction from text?
What are the key differences between a decision tree and a random forest?
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