Amazon reviews
Python, Social Network, TSA, Web crawling
Archive
Every experiment, captured in one grid.
Hadoop for Amazon product co-purchasing network
Distributed graph analytics across the marketplace
Predicting User Preferences, Creating Online P2P Lending Teams in Kiva
Classification, Clustering, Decision Trees, Machine Learning, PCA, Python, Web crawling
Lending Club's Portfolio Analysis
Credit Risk, Finance, R
NFL Predictions
Classification, Decision Trees, LDA, Linear Regression, Monte Carlo, Python, Random Forest, Sports
NBA predictions
Monte Carlo, Python, Sports
Amazon product co-purchasing network
Classification, Gephi, Monte Carlo, Python, R, Social Network
Food Atlas
Canonical Correlation, Clustering, LDA, Machine Learning, PCA, R
About me
Personal background & context
Cap Rates
Modeling capitalization rates for property assets
Load balancer using MC
Monte Carlo exploration of load balancing strategies
Multi-Label Learning by Exploiting Label Dependency
Capturing label structure to improve predictive performance
Shelter Animal Outcomes
Predictive modeling for animal shelter adoption outcomes
PCA, SVD & AR in Python
Dimensionality reduction meets autoregressive modeling
Social Network Analysis
Graph theory techniques applied to digital communities
Machine Learning in Python
A practical tour through supervised learning workflows
Generalizing Random Forest Model for Online News Popularity Classification
Feature engineering to forecast readership for news articles
Great thoughts from DBD International
Strategic inspiration curated from DBD International
Time Series Analysis Forecasting
Forecasting toolkit spanning classical and modern methods
Ensembles of Classifiers
Combining weak learners into high-performing ensembles
Loan calculator in Python
An interactive tool for understanding amortization
PCA - Testing for significance
Statistical tests that validate principal components
Perform PCA?
A step-by-step walkthrough of PCA implementation
Principal Component Analysis PCA
Foundational guide to principal component analysis