olivierzach Goto Github PK
Name: Zach Olivier
Type: User
Company: DataStax
Bio: Senior Data & Applied Scientist / ML Engineering / MLOPs
Twitter: Zach0__
Location: Los Angeles, CA
Zach Olivier's Projects
aqpy
python script to read PMS5003 and BME280 sensors connected to a Raspberry Pi
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-r
A curated list of awesome R packages, frameworks and software.
bayesian-marketing-attribution
Marketing attribution using Bayesian credible sets and regression methods
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
coursera-stanford
Stanford
coursera-university-of-washington
University of Washington
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data
Data and code behind the articles and graphics at FiveThirtyEight
data-science-specialization-r
Projects and Notes from the Johns Hopkins Data Science Specialization
ds-study
Various study materials
flask_reddit
Reddit clone in flask + python + nginx + https. View site:
go
The Open Source Data Science Masters
gtx_6501
Introduction to Analytics Modeling - Georgia Tech OMDS
gwu_data_mining
Materials for GWU DNSC 6279 and DNSC 6290.
kaggle
Housing Prices Kaggle Competition
nopioid
Using machine learning and applied analytics to identify high-residual opioid prescribers
olivierzach
Config files for my GitHub profile.
paw_2018
Predictive Analytics World Notes and Code
phish_data
Scripts for creating a dataset of Phish
presentations
A central repository of Business Science presentations
project-based-learning
Curated list of project-based tutorials
python-projects
General Python Projects
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
r-projects
General R Projects
random-neighbors
Random Neighbors: Random Forest style clustering for high-dimensional data
rstudio-conf-2018
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018
the-algorithm
Source code for Twitter's Recommendation Algorithm
tricentis-lead-scoring
Lead Scoring: Optimizing SaaS Marketing-Sales Funnel by Extracting the Best Leads with Applied Machine Learning
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