- Sign up for a Weather Company API Key (optional)
TWC APIKey We have API keys already set up in the lab but just to be safe you should use your own.
- Get your geo location or your city (Lat/Lon)
Get your Location We will use this to personalize your Weather Station Location. Note down latitude & longitude.
- Think2020 is over but you can create this LAB yourself
You can still use the preconfigure Cloud Enviroments using/claiming your enviroment via Claim your LAB ID (See LAB Part 1 as well)
Or you can create your own IBM Cloud Instance/Envrioment using the instructions below
Alternataively you can install Node-RED and Jupyter notebooks locally follow the instruction and excecises
Before the LAB starts we will go through some introductions and a walkthrough of the LAB and the excerises. You will set up your Node-RED instance with your API key and the Lat/Lon as well as your LAB ID.
You can request the LAB ID here once the LAB is opened - only during think2020
Detailed instruction and excecises can be found here.
Part 2 is about Watson Studio using a Jupyter Notebook to analyse the weather data and create data queries to retrieve the data into Node-RED and display it in a dashboard
Prerequisite
Sign up for WatsonStudio account Register for WatsonStudio
Download this this github and Import the WS1-...ipynb Python Notebook
Part 3 is about Watson Studio with a Jupyter Notebook to predict the weather data using a SARIMAX model. We will use the data for the previous exerise and create a seasonal prediction model. We will create queries which we can trigger from node-red and display the forecast data in a dashboard.
Sign up for WatsonStudio account Register for WatsonStudio
Download this this github and Import the WS2-... .ipynb Python Notebook
Python: There is some python sdk code which you can use on your desktop at home to access the IoT Platform. Watson Auto AI - you can use the clean weather data and Watson Auto AI to create/deploy a model which can be triggered via APIs.
THE END!
version: mvk20200518