Here I have done a chain of mini-projects to infer from the data that was generated by CERN openlab and is easily available online. I have used several machine learning algorithms depending upon the type of data and the type of inference we want to make. Each of the project has been explained with a seperate readme and the proper visualization and everything is done the jupyter notebooks to understand the essence of what needs to be done.
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centarsirius/Applying-machine-learning-to-CERN-experiments
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assignments from the coursera course on "Addressing LHC challenges by machine learning"
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