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| Resources | ||
| 00-prereqs.md | ||
| 01-data-gathering.md | ||
| 02-load-data.md | ||
| 03-visualization.md | ||
| 04-incrementals.md | ||
| 05-data-masking.md | ||
| 06-new-data.md | ||
| 07-ml.md | ||
| README.md | ||
README.md
Overview
The coach section is dedicated to those who are running the What The Hack
Coach Guide
- Challenge 0: Pre-requisites - Ready, Set, GO!
- Prepare your workstation to work with Azure
- Challenge 1: Gathering Open Powerlifting Data
- Retrieve data and upload to Azure using a storage service
- Challenge 2: Load data into a relational database/warehouse
- Loading the data
- Challenge 3: Visualization
- Visualizing the data
- Challenge 4: Incremental Loads
- Load incrementals
- Challenge 5: Mask Data for Privacy
- Putting your mask on
- Challenge 6: Add New Data Source(s)
- Additional data sources
- Challenge 7: Leverage Machine Learning
- The machines know too much!
Coaches Resources
- Lab Data Prep.ipynb: A Python notebook that splits the Open Powerlifting data into an initial historical data file and a chosen number of daily incremental files. To be run in a Synapse Workspace.