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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the concept of data wrangling and its importance in data analytics.
RELATED INTERVIEW QUESTIONS
What is the significance of the ROC-AUC score in evaluating classification models?
How does regularization help to reduce overfitting in machine learning models?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
How would you optimize the performance of a recommendation system for personalized product suggestions?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
How would you implement a recommendation system for e-commerce websites?
Explain how principal component analysis (PCA) works for dimensionality reduction.
How do you deal with temporal dependencies in time-series forecasting?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
What is data anonymization, and why is it essential in data analytics?
What is Boosting in machine learning, and how does it work?
How do you perform sentiment analysis on social media data?
How do you deal with class imbalance in classification models?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
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