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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 why is it important in data analytics?
RELATED INTERVIEW QUESTIONS
What is the difference between classification and regression problems in analytics?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is the difference between random forests and decision trees?
How does regularization help to reduce overfitting in machine learning models?
Explain how hyperparameter optimization improves machine learning model performance.
Explain the concept of Big Data and its challenges in the context of data analytics.
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How do you measure the generalization error of a machine learning model?
What are data imputation techniques, and how are they used for handling missing data?
How do you assess the impact of outliers in your data and model predictions?
What is model drift, and how can it affect predictive analytics models?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
What is data integrity, and how is it maintained in a database?
How do you use decision trees for feature selection in machine learning?
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