Jamey Johnston's starred repositories
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
python-cheatsheet
Comprehensive Python Cheatsheet
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
Office365-REST-Python-Client
Microsoft 365 & Microsoft Graph Library for Python
sp_whoisactive
sp_whoisactive
powerapps-tools
Unsupported PowerApps Tools & Apps
hyperspace
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
pbiworkshops
Training workshops for Power BI.
genai-quickstart-pocs
This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Streamlit frontend to help users quickly set up a proof of concept.
CNN-from-scratch
Convolutional Neural Network from scratch
no-code-low-code
No Code Low Code Examples
grepper-contributions
This Repo contains my code contributions to the Code Grepper platform
aws_bedrock_examples
Examples of AWS bedrock
llm-genai-application
ODSC West 2023 talk on Building Generative AI Applications: An LLM Case Study
Intro-to-Azure-ML
Resources from my Introduction to Machine Learning using Azure ML talk.
tpt-oracle
Tanel Poder's Troubleshooting & Performance Tools for Oracle Databases