Here I have done a chain of mini-projects to infer from the data that was generated by CERN. 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 inside the jupyter notebooks to understand the essence of what I did in each one of the projects.
Project Name
Description
Notebook
Z-Boson mass measurement
Computing the mass of Z-boson
Particle Identification
Identify the type of atomic/subatomic particle
Search for rare decay
To find the evidence of rare decay
Searching for electromagnetic showers
Develop a model identifying basetracks of electronic magnetic showers
Detector Optimization
Improve the conventional tracking systems using gaussian process