Zach Olivier's repositories
tricentis-lead-scoring
Lead Scoring: Optimizing SaaS Marketing-Sales Funnel by Extracting the Best Leads with Applied Machine Learning
bayesian-marketing-attribution
Marketing attribution using Bayesian credible sets and regression methods
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
r-projects
General R Projects
random-neighbors
Random Neighbors: Random Forest style clustering for high-dimensional data
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
Data-Science-Specialization-R
Projects and Notes from the Johns Hopkins Data Science Specialization
project-based-learning
Curated list of project-based tutorials
awesome-computer-vision
A curated list of awesome computer vision resources
coursera-university-of-washington
University of Washington
flask_reddit
Reddit clone in flask + python + nginx + https. View site:
GWU_data_mining
Materials for GWU DNSC 6279 and DNSC 6290.
olivierzach
Config files for my GitHub profile.
phish_data
Scripts for creating a dataset of Phish
presentations
A central repository of Business Science presentations
python-projects
General Python Projects
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
rstudio-conf-2018
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018
the-algorithm
Source code for Twitter's Recommendation Algorithm