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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 latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
RELATED INTERVIEW QUESTIONS
How do you optimize the performance of an algorithm when the dataset size is enormous?
How would you perform real-time data analysis using Kafka and Spark?
What are data imputation techniques, and how are they used for handling missing data?
Explain the concept of reinforcement learning and its applications in analytics.
What is the difference between precision and accuracy in the context of classification problems?
Explain the difference between bagging and boosting techniques.
What is the accuracy paradox and how does it affect model evaluation?
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
Explain the difference between supervised and unsupervised learning with examples.
How do you use bootstrapping in model evaluation, and what are its advantages?
How do support vector machines (SVM) work, and why are they used in classification problems?
What is the importance of model validation and how do you perform it in practice?
What is the role of feature scaling in improving machine learning model accuracy?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What are the types of biases in data analysis and how can they be minimized?
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