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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the different methods for handling missing data in datasets?
RELATED INTERVIEW QUESTIONS
What are the key differences between a decision tree and a random forest?
What is the role of Markov chains in predictive analytics for customer behavior?
What is the ROC-AUC curve, and how do you interpret it?
Explain data leakage and how to prevent it in machine learning models.
Explain the concept of reinforcement learning and its applications in analytics.
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What are autoencoders, and how are they used in unsupervised learning tasks?
What is the K-nearest neighbors algorithm, and when would you use it?
How do you assess the impact of outliers in your data and model predictions?
How would you evaluate the performance of a recommendation system?
Explain how latent variable models work in data analytics.
What is the significance of hyperparameter tuning in optimizing machine learning models?
How do you optimize the hyperparameters of machine learning algorithms?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What is the difference between random forests and decision trees?
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