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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
RELATED INTERVIEW QUESTIONS
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
How do you optimize model performance in an unsupervised learning task?
How do you perform feature scaling, and what are its benefits in machine learning?
Explain the concept of a precision-recall curve and when to use it.
Explain the concept of data wrangling and its importance in data analytics.
Explain the concept of hyperparameter tuning and its role in model optimization.
What is time-series forecasting, and how do you handle seasonality in models?
What is the purpose of a ROC curve in model evaluation?
Explain data leakage and how to prevent it in machine learning models.
How would you perform data aggregation for summarizing large datasets?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What are the ethical considerations when analyzing customer data in analytics?
What are the challenges of working with unstructured data, and how can they be overcome?
How would you deal with multicollinearity in a regression analysis?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
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