doug ybarbo (@alexland)
github

alexland

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

fp-growth-for-frequent-itemsets

compact encoding & very fast retrieval of frequent item sets with FP-Growth
Jupyter Notebook
11
star
2

d3-data-adapter

convert graph data from common formats (e.g., adjacency matrix) to the idiosyncratic JSON format used by d3.js
Python
8
star
3

similarity-metrics

functions to determine pair-wise "similarity" of two vectors by calculating distance in various metric spaces
Python
6
star
4

dynamic-price-modeling

R implementations of dynamic pricing models based on the EOQ (Economic Order Quantity) model
JavaScript
5
star
5

kPCA

several spectral-based matrix decomposition techniques, coded in Python/NumPy, for segmentation/clustering, dimension reduction
Python
4
star
6

decisionTree-npgv

recursive descent parser based on C4.5, implemented using python + numpy (computation engine) and graphviz (tree layout + rendering)
Python
4
star
7

linear-discriminant-analysis-in-numpy

LDA in numpy (python) with demo code
Python
3
star
8

web-metrics-distributed

real-time web metrics collection, storage, and view using node.js, redis, and storm
Java
3
star
9

recommender-service

a recommendation engine as a service endpoint
Python
2
star
10

scala-spark-pipelines

app for distributed ETL & computation pipelines on the scala spark API
Scala
1
star
11

data-scope

web app for retrieving, manipulating, and viewing data based on flask and redis
Python
1
star
12

nnma-sparse-approx

non-negative matrix approximation to de-sparsify degenerate data matrices
1
star
13

bayesian-bandit-simulator

the computational machinery plus a visualization layer to configure and run simulations of bayesian multi-armed bandit systems
Python
1
star
14

natural-language-data-pre-processing

transforming raw natural language data (text) to structured data suitable for input to a machine learning classifier
Python
1
star
15

etl-ml

modules for IO & preparation of data for input to Machine Learning algorithms
Python
1
star
16

akka-stream-graph

minimal app built using aka-streams 1.0 to demonstrate/learn the essential features of the library
Scala
1
star
17

numpy-tutorial-for-data-scientists

using NumPy from the command line to perform many tasks common in data science
1
star
18

r-trellis-plot-templates

template code & themes for most types of plots found in lattice library
R
1
star