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A binary classification problem to distinguish pulsars from noise

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Pulsars Classification

Description

Welcome to the project on pulsars classification! you will build a machine learning classifier to separate out real astronomical signals from man-made radio frequency interference (RFI); From the tutorials you will learn the following:

  • Tutorial 1 : The classification of pulsars

Data

A csv file that contains a summary statistes of 1D line graphs.

Hackathon Task

From the proposed pipeline (tutorials), investigate new ways to classify between pulsars and RFI signals

Prerequisites

All the libraries/dependencies necessary to run the tutorials are listed in the requirements.txt file.

Installation

All the required libraries can be installed using pip and the requirements.txt file in the repo:

> pip install -r requirements.txt

Would you like to clone this repository? Feel free!

> git clone https://github.com/Hack4Dev/pulsar_classification.git

Then make sure you have the right Python libraries for the tutorials.

New to Github?

The easiest way to get all of the lecture and tutorial material is to clone this repository. To do this you need git installed on your laptop. If you're working on Linux you can install git using apt-get (you might need to use sudo):

apt install git

You can then clone the repository by typing:

git clone https://github.com/Hack4Dev/pulsar_classification.git

To update your clone if changes are made, use:

cd pulsar_classification/
git pull

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A binary classification problem to distinguish pulsars from noise

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  • Jupyter Notebook 100.0%