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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is Principal Component Analysis (PCA) used for in data reduction?
RELATED INTERVIEW QUESTIONS
How do you apply data smoothing techniques for time-series forecasting?
What is the role of feature scaling in improving machine learning model accuracy?
What is the K-nearest neighbors algorithm, and when would you use it?
How do you use data augmentation to improve a deep learning model’s performance?
How would you optimize the performance of a recommendation system for personalized product suggestions?
How does bootstrapping improve model accuracy in statistical analysis?
How does the k-means clustering algorithm work and when should it be used?
How would you apply cross-validation techniques in a deep learning model?
What are the primary steps involved in preparing data for a machine learning model?
What is the difference between regression and classification models in machine learning?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
What are active learning methods, and when would you apply them in data analytics?
How would you perform outlier detection using Isolation Forest?
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