In this project, I worked on Sloan Digital Sky Survey(SDSS) sky observation data. Normally it is possible to query the SDSS database server to retrieve newest data:
http://skyserver.sdss.org/dr12/en/tools/search/sql.aspx
But I couldn't find a package to handle this retrieval through Python(All of them are deprecated). So I decided to take data from Kaggle. You can find additional information about the data here:
https://www.kaggle.com/lucidlenn/sloan-digital-sky-survey/home
First, I analyzed the data and did the necessary transformation, normalization on it. Then, I did some visualization and implementation of supervised algorithms to classify given data whether it is a Star, Quasar or Galaxy using many classification algorithms such as KNN, Decision Tree, SVM and LightGBM. I checked the accuracies of them. I used these tools: pandas, matplotlib, sklearn, jupyter notebook.
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In this project, I worked on Sloan Digital Sky Survey(SDSS) sky observation data to classify given data whether it is a Star, Quasar or Galaxy.
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yarenska/SDSS-Data-Analysis
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In this project, I worked on Sloan Digital Sky Survey(SDSS) sky observation data to classify given data whether it is a Star, Quasar or Galaxy.
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