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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are active learning methods, and when would you apply them in data analytics?
RELATED INTERVIEW QUESTIONS
What is the importance of data preprocessing in machine learning, and what steps are involved?
What is the role of feature scaling in improving machine learning model accuracy?
How do you perform feature engineering in time-series data?
What is Boosting in machine learning, and how does it work?
How does feature scaling improve the convergence of gradient descent algorithms?
What is AdaBoost, and how does it improve the performance of weak learners?
What are the challenges of data visualization, and how do you overcome them?
What is the role of data governance in an organization’s analytics framework?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What is the role of cloud computing in enabling data analytics at scale?
How do you perform outlier detection in data analytics?
How do you prevent model bias in machine learning algorithms?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
Explain the concept of reinforcement learning and its applications in analytics.
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
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