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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you optimize the performance of an algorithm when the dataset size is enormous?
RELATED INTERVIEW QUESTIONS
Explain the role of backpropagation in training neural networks.
What is the role of Markov chains in predictive analytics for customer behavior?
How do you perform root cause analysis using data analytics in business?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
How do you handle and process categorical data in machine learning algorithms?
How do you handle missing data in large datasets using imputation techniques?
What are data imputation techniques, and how are they used for handling missing data?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
What is the difference between KNN and SVM in classification tasks?
What is overfitting, and how can it be avoided using regularization techniques?
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
How do you use SQL to perform data manipulation and aggregation in an analytics project?
What is the role of cloud computing in enabling data analytics at scale?
Explain the concept of hyperparameter tuning and its role in model optimization.
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