Sample interview questions: Can you describe a project where you applied data regression techniques to astronomical data?
Sample answer:
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Project Title: Predicting Stellar Age from Spectral Data Using Machine Learning Techniques
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Goals:
- Develop a data regression model to estimate the age of stars based on their spectral features.
- Evaluate the model’s accuracy and performance using various metrics.
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Identify key spectral features that contribute to age estimation.
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Data:
- Collected a large dataset of stellar spectra from various astronomical surveys.
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Each spectrum was labeled with the corresponding stellar age.
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Methods:
- Preprocessed the spectral data to remove noise and standardize the format.
- Employed various data regression techniques, including:
- Linear regression
- Decision trees
- Random forests
- Support vector machines
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Optimized the hyperparameters of each model to achieve the best performance.
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Results: Read full answer
Source: https://hireabo.com/job/5_4_13/Astronomical%20Data%20Scientist