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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 assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
RELATED INTERVIEW QUESTIONS
How do you assess the impact of outliers in your data and model predictions?
What is time-series analysis, and what techniques do you use for it?
Explain the Naive Bayes algorithm and its application in data analytics.
What is the concept of Feature Extraction in computer vision analytics?
Explain the difference between supervised and unsupervised learning with examples.
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How do you apply data smoothing techniques for time-series forecasting?
What is the significance of hyperparameter tuning in optimizing machine learning models?
Explain the concept of reinforcement learning and its applications in analytics.
What is the ROC-AUC curve, and how do you interpret it?
What is Collaborative Filtering, and how is it used in building recommendation systems?
How do you perform outlier detection using machine learning techniques?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What are the common pitfalls when working with real-time data in analytics?
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