ike-okonkwo
Data Scientist. Previously @zynga. @AdRoll, @6sense. Excited about the possibilities with the proliferation of data
San Francisco, CA
Pinned Repositories
benchm-ml
data-science-from-scratch
code for Data Science From Scratch book
dataweek-workshop
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
ml_microservices_api
Assets and Collateral for ML Micriservices and API meetup
vw-talk-01-15
Materials from Vowpal Wabbit talk
service_reviews_ike
Open Table Reviews
ike-okonkwo's Repositories
ike-okonkwo/538model
538 Election Forecasting Model
ike-okonkwo/Agile_Data_Code
Chapter-wise code for Agile Data the O'Reilly book
ike-okonkwo/datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
ike-okonkwo/sklearn_pycon2013
Files for my scikit-learn tutorial at PyCon 2013
ike-okonkwo/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
ike-okonkwo/vowpal_wabbit
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm