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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 dimensionality reduction, and how does it improve model performance?
RELATED INTERVIEW QUESTIONS
What is Principal Component Analysis (PCA) used for in data reduction?
Explain the concept of model overfitting and how can it be mitigated.
What is overfitting, and how can it be avoided using regularization techniques?
Explain how you would approach feature engineering for a time-series dataset.
How do you evaluate the stability of a clustering algorithm over different datasets?
How do you deal with class imbalance in classification models?
How do you identify and resolve data leakage in machine learning models?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is AdaBoost, and how does it improve the performance of weak learners?
What are the key differences between a decision tree and a random forest?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is the difference between segmentation and clustering in data analytics?
What are time-series cross-validation techniques, and how are they applied in forecasting?
How would you apply cross-validation to avoid overfitting in a machine learning model?
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