KaSchr
Solutions Architect at AWS | AI/ML, Optimization, Simulation, Causal Inference | Sustainability, Energy, Transportation
AWS, University of Cologne, UC Berkeley, University of Cambridge
Pinned Repositories
guidance-for-geospatial-insights-for-sustainability-on-aws
This Guidance helps customers observe land use changes using geospatial data to support supply chain best practices. Customers can monitor changes in forest density using an Amazon SageMaker geospatial capability that simplifies the process of analyzing satellite images for changes in vegetation.
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
DSML_2020
Code repo for course "Introduction to Data Science and Machine Learning (DSML)"
DSML_2021
Code repository for DSML 2021
DSML_2022
Central course repo for DSML summer semester 2022
amazon-sagemaker-notebook-instance-lcs
Originally forked from https://github.com/aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples/tree/master. Adapted for my own needs.
CSVP_Code_Supplement
Code and data supplement to research paper entitled "Data-driven competitor-aware positioning in on-demand vehicle rental networks"
gds17
Geographic Data Science'17
h3-py
Python bindings for H3, a hierarchical hexagonal geospatial indexing system
KaSchr's Repositories
KaSchr/amazon-sagemaker-notebook-instance-lcs
Originally forked from https://github.com/aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples/tree/master. Adapted for my own needs.
KaSchr/CSVP_Code_Supplement
Code and data supplement to research paper entitled "Data-driven competitor-aware positioning in on-demand vehicle rental networks"
KaSchr/gds17
Geographic Data Science'17
KaSchr/h3-py
Python bindings for H3, a hierarchical hexagonal geospatial indexing system