Name: Jeff C. Ho
Type: User
Bio: Technical PM.
Machine learning pipelines, data viz, satellite imagery, and geospatial analysis.
Formerly Insight Data Science, Cloud to Street & Stanford.
Twitter: jeffcfho
Location: New York, NY
Blog: https://jeffcfho.github.io/
Jeff C. Ho's Projects
A community-supported list of awesome data science resources relevant to SafeGraph data
Exploring predictors of algal blooms in lakes across the continental U.S., part of my PhD Thesis
A checklist to maximize effective usage of time in data challenges
Insight Short Data Challenges
EarthEngine Javascript API scripts cloned from code editor, mainly for Ho et al. (2017), "Using Landsat to extend the historical record of lacustrine phytoplankton blooms: A Lake Erie case study".
Scripts used in "Widespread global increase in intense lake phytoplankton blooms since the 1980s" (Ho, Michalak, Pahlevan, 2019) published in Nature. Provided under an Attribution 4.0 International (CC BY 4.0) license. If you use the code we request that you contact us (see Readme) to let us know that, and how, you are using it.
A personal website to show links to my talks and press mentions
Insight Data Fellows Project. Targeting organic food buyers using Instacart data.
Contributing methods and tests to the Python interface to the BreezeChMS REST API http://www.breezechms.com
Competitive intel using SafeGraph Spend data
Dashboard for SafeGraph Spend Data
These are SQL scripts for a demo of SafeGraph's Patterns data in Snowflake
Wordle-like game built using streamlit to guess the SafeGraph brand based on a map of locations across the US
The official repository for the Rock the JVM Spark Essentials with Scala course
Example Streamlit app that you can fork to test out share.streamlit.io
Applying the Tensor Flow Object Detection API to ice hockey footage of the Vancouver Canucks.