Pinned Repositories
ABtests
AB testing tutortial
app_rank
A project to explore app rank data
automl
A R package to train hundreds of machine learning models in a few lines. The ultimate goal is to automatically train machine learning models without human expert.
chromonics
Numerical solution to the length distribution of chromonic liquid crystal
churn
Prediction of customer churn using classical machine learning and deep learning models.
credit_fraud
A project to compare credit card fraud prediction between auto-encoder and some boosting, bagging models
data-sentry
A project to build a machine learning pipeline to detect personal identifiable information (PII)
lammps
Project to extract glass transition signal from atom position data.
piidetect
A package to build an end-to-end pipeline for detecting personally identifiable information from text.
wiki_recommend
A data challenge to recommend next Wikipedia articles to read.
edwardcooper's Repositories
edwardcooper/piidetect
A package to build an end-to-end pipeline for detecting personally identifiable information from text.
edwardcooper/data-sentry
A project to build a machine learning pipeline to detect personal identifiable information (PII)
edwardcooper/automl
A R package to train hundreds of machine learning models in a few lines. The ultimate goal is to automatically train machine learning models without human expert.
edwardcooper/lammps
Project to extract glass transition signal from atom position data.
edwardcooper/wiki_recommend
A data challenge to recommend next Wikipedia articles to read.
edwardcooper/ABtests
AB testing tutortial
edwardcooper/credit_fraud
A project to compare credit card fraud prediction between auto-encoder and some boosting, bagging models
edwardcooper/sherlock
A project to do exploratory analysis on the sherlock dataset for mobile security.
edwardcooper/app_rank
A project to explore app rank data
edwardcooper/chromonics
Numerical solution to the length distribution of chromonic liquid crystal
edwardcooper/churn
Prediction of customer churn using classical machine learning and deep learning models.
edwardcooper/datasets
Contains several datasets for tutorial purpose
edwardcooper/email_marketing
Build a machine learning model to optimize email campaign
edwardcooper/ml_algo
A project to implement simple ML algorithms
edwardcooper/network
edwardcooper/pandas_exercises
Practice your pandas skills!
edwardcooper/price_ab_test
A data challenge to explore the effect after increasing the price of the software.
edwardcooper/skpipe
A Python package to train hundreds of machine learning models in a few lines. The ultimate goal is to automatically train machine learning models without human expert.
edwardcooper/wuhan-virus-paper
A repository to document the papers on the spread of Wuhan Coronavirus.