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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 Bagging in machine learning, and how does it reduce overfitting?
RELATED INTERVIEW QUESTIONS
How would you deal with multicollinearity in a regression analysis?
What is the role of unsupervised learning in anomaly detection?
How does deep reinforcement learning work, and where can it be applied in business analytics?
What is Bagging in machine learning, and how does it reduce overfitting?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
How would you evaluate model performance in an imbalanced dataset problem?
How would you visualize high-dimensional data using dimensionality reduction techniques?
What are the advantages of using deep learning over traditional machine learning in analytics?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
Explain how you would approach feature engineering for a time-series dataset.
What are gradient descent and its variants, and how are they used in machine learning?
How do you apply gradient descent in training deep neural networks?
How do you ensure reproducibility in your data analysis pipelines?
How do you perform feature scaling, and what are its benefits in machine learning?
What are the best practices to ensure model interpretability and explainability?
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