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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 gradient boosting and why is it more effective than traditional decision trees?
RELATED INTERVIEW QUESTIONS
How do you optimize the performance of an algorithm when the dataset size is enormous?
How do you deal with skewed data in regression models?
How do you handle outliers in time-series data?
What are the differences between Ridge and Lasso regression?
How does deep reinforcement learning work, and where can it be applied in business analytics?
What are the key differences between a decision tree and a random forest?
How do you optimize machine learning models for real-time decision-making?
How do you address skewed data distributions in machine learning models?
How would you deal with multicollinearity in a regression analysis?
What is the role of cloud computing in enabling data analytics at scale?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What are the limitations of using random forests for classification tasks?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How do you ensure that your analysis is unbiased when working with large datasets?
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