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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What is overfitting, and how can it be avoided using regularization techniques?
RELATED INTERVIEW QUESTIONS
Explain data leakage and how to prevent it in machine learning models.
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
What is feature selection, and how does it impact the model’s performance?
How does regularization help to reduce overfitting in machine learning models?
Explain the concept of model overfitting and how can it be mitigated.
How does the k-means clustering algorithm work and when should it be used?
What is data streaming, and how is it used for real-time analytics?
What are decision trees, and how are they used in classification tasks?
How do you apply nearest neighbor algorithms for recommendation systems?
What are the advantages of using XGBoost over other machine learning algorithms?
What is data anonymization, and why is it essential in data analytics?
What is the difference between correlation and causality?
How do you evaluate model stability and ensure it performs well over time?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
What is the purpose of a ROC curve in model evaluation?
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