Lauren Higgins's repositories
Galaxy-Evolution-Data-and-Image-Analysis
These are the projects I completed in my Astronomy research python course. I created detailed plots and images using raw data from the Hubble Space Telescope.
Deep-Learning
This repository contains the deep learning projects I completed in my Deep Learning course at the University of Missouri-Kansas City.
Evolution-of-CANDELS-Massive-Spheroid-and-Disk-Galaxies
I was in charge of extracting relevant galaxy evolution data from 5 databases into one organized database where I the data was separated into our key target parameters.
First-Population-of-Stars
This repository contains the code I created to calculate the intensity of Near Infrared and X-ray light that should be observed from the first population of stars.
Machine-Learning
This repository contains the four machine learning projects I created for my machine learning class. I used the Python package SciKit to write each algorithm.
NN-Silicon
This project was to create a neural network that will predict the coefficients for the potential function of Silicon crystals.