Jong Shin's repositories
inductive-bias-experiment
inductive bias experiment for deepnet paper
web-scrapper
Web Scrapper used to extract NeuroData github repo stats
NNSA-geospatial-analysis
Geospatial visualization and analysis of Fukushima datasets created by NNSA
sql_mastery
collection of sql commands and its practical use
alzheimers-disease-prediction
Predicting Alzheimer’s disease risk factors from the variant fingerprints of non-AD genes
bash-shell-mastery
practical exercise of bash-shell scripting
code-bucket
collection of miscellaneous coding projects
coding_practice
coding practice
deepnet-behavioral
Online behavioral experiment for deepnet paper
project-binder
List of projects and research portfolios
Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
This project was completed in partial fulfillment of the requirement for EN.601.509(50) advised by Dr. Joshua Vogelstein
hiv-classification-by-antibody
classify HIV-infection status from blood antibody titer measured by luciferase immunoprecipitation systems (LIPS) assay
hologram-biometric-signal-parsing
Nonparametric multivariate two-sample testing of the MindX hologram time-series datasets using hyppo package developed by Vogelstein lab
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
jovo.github.com
homepage
kdg
Exploring and using kernel density algorithms
neurodata-software-milestone
ndd-software repo milestone image generator
neurodata.io
Homepage for NeuroData
plaid-transaction
Use of Plaid to access bank transaction history
probabilistic-linkage
Joining several database using probabilistic linkage approach
progressive-learning
progressive learning
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
scikit-learn
scikit-learn: machine learning in Python
scikit-tree
Scikit-learn compatible decision trees beyond those offered in scikit-learn
text-based-genetic-mutation-classification
predictive modeling of text-based medical dataset by custom word embedding