Michael Ammah's repositories
amazon-redshift-utils
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
analyze-customer-data-spark-pixiedust
Introductory IBM Code pattern for PixieDust
awesome
😎 Awesome lists about all kinds of interesting topics
aws-well-architected-labs
Hands on labs and code to help you learn, measure, and build using architectural best practices.
Azure-Data-Factory-Cookbook-Second-Edition
Azure Data Factory Cookbook_Second Edition, published by Packt
Azure-Databricks-NYC-Taxi-Workshop
An Azure Databricks workshop leveraging the New York Taxi and Limousine Commission Trip Records dataset
azure-policy
Repository for Azure Resource Policy samples
Belly_button_bio-Dashboard
An interactive web application for exploring the belly-button biodiversity data-set
Cookbook
The Data Engineering Cookbook
DataWarehouseModeling
Data Warehouse with AWS Redshift
dbt-tutorial
dbt learn tutorial
ETL_Spark_AWS_S3
ETL pipeline from AWS S3 bucket, transformation in PySpark, and loaded back into S3 bucket.
flask-postgres-plotly
Demonstration of deploying Flask app to Heroku
flask-web-app
A web application in Python using Flask
getting-started-with-analytics-engineering
Getting Started with Analytics Engineering
interactive_latencies
Jeff Dean's latency numbers plotted over time
ipython-sql
%%sql magic for IPython, hopefully evolving into full SQL client
Jahmah.github.io
Portfolio
ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
Node-RED-Tello-Control
Node-RED flows to control the Ryze Tello Drone
predict-opioid-prescribers
A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.
product-recommendation-with-watson-ml
Build a recommendation engine with Spark and Watson Machine Learning
pycon-2019-tutorial
Data Science Best Practices with pandas
streaming-at-scale
How to implement a streaming at scale solution in Azure
visualize-data-with-python
A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX.
Web-Database-Analytics
Web scrapping and related analytics using Python tools