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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the challenges of data visualization, and how do you overcome them?
RELATED INTERVIEW QUESTIONS
What is the purpose of a ROC curve in model evaluation?
What is the role of visualization in data analysis, and which Python libraries would you use?
What is the significance of feature importance in decision tree algorithms?
How does dimensionality reduction improve the performance of machine learning algorithms?
What is the importance of hyperparameter tuning in machine learning models?
How do you select the best machine learning model for a given dataset?
What is deep learning and how is it used for image recognition?
How do you apply gradient descent in training deep neural networks?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What are decision trees, and how are they used in classification tasks?
Explain how latent variable models work in data analytics.
How do you implement automated machine learning (AutoML) tools in your workflow?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
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