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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 LSTM networks, and how do they handle sequential data?
RELATED INTERVIEW QUESTIONS
What is dimensionality reduction, and why is it important in data analytics?
What is Principal Component Analysis (PCA) used for in data reduction?
What is the purpose of a ROC curve in model evaluation?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
Explain the difference between data mining and data analytics.
What is feature selection, and how does it impact the model’s performance?
How do you evaluate model performance when the dataset is small and unbalanced?
How do you evaluate model stability and ensure it performs well over time?
How do you interpret the results of cluster analysis in market research?
What are the limitations of using random forests for classification tasks?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
Explain how you would approach feature engineering for a time-series dataset.
How do you prevent model bias in machine learning algorithms?
How do you implement feature selection techniques for high-dimensional data?
How does the k-means clustering algorithm work and when should it be used?
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