Sample interview questions: Can you describe a project where you applied data filtering techniques to astronomical data?
Sample answer:
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Project Title: Classification of Galaxies Using Machine Learning on Spectral Data
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Objective: Develop a machine learning model to classify galaxies based on their spectral features.
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Data: A large dataset of galaxy spectra, including information on redshift, morphology, and other properties.
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Methods:
- Data Preprocessing:
- Applied data filtering techniques to remove noisy and corrupted data points.
- Standardized the data to ensure consistent units and scales.
- Feature Engineering:
- Extracted meaningful features from the spectra, such as line fluxes, equivalent widths, and absorption indices.
- Used dimensionality reduction techniques (e.g., Principal Component Analysis) to reduce the number of features while preserving important information.
- Model Development:
- Trained and evaluated several machine learning algorithms, including Decision Trees, Random Forests, and Support Vector Machines.
- Optimized hyperparameters using cross-… Read full answer
Source: https://hireabo.com/job/5_4_13/Astronomical%20Data%20Scientist
- Data Preprocessing: