Report Or Document for ML project
Budget: $10 – $30 AUD
Programming: Weather Patterns - Written Report Dear Freelancer, please write a report 10 pages + 150 words abstract You have coding part already
? MAIN DETAILS: This project is to determine if weather patterns are synchronized on any scale but for the sake of experiment, we can do one geographical
region like the USExample: if it is raining in New York City, is there a specific weather event happening in San Diego, California at the same time +/- a
few hours. Hence, does the data show weather patterns may be synchronized. The locations you’d like to use are up to you.The data set to be used in this
project is:
https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_pangeo-2Ddata_WeatherBench&d=DwMFAg&c=009klHSCxuh5AI1vNQzSO0KGjl4nbi2Q0M1QLJX9BeE&r=p7fL2tFZIEC-BlrujNfUe4HXhN3qtvNEkI7cEYaqJ5c&m=oj2lZ0iHVfOKl1OJSzf4VKf_9BKTwImbvACvx18ccqrnw2cXm13nNHTCRLihgRTY&s=FlvYjudo6WG-52rnIhtHvSXTjnE0KkDE0_fNsuDU9Dg&e=
The project will include a report, ideally in the project you should try and compare different methods NN, CNN or LSTM and regression trees, and to run
systematic hyperparameter tuning.
? MAIN DETAILS: This project is to determine if weather patterns are synchronized on any scale but for the sake of experiment, we can do one geographical
region like the USExample: if it is raining in New York City, is there a specific weather event happening in San Diego, California at the same time +/- a
few hours. Hence, does the data show weather patterns may be synchronized. The locations you’d like to use are up to you.The data set to be used in this
project is:
https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_pangeo-2Ddata_WeatherBench&d=DwMFAg&c=009klHSCxuh5AI1vNQzSO0KGjl4nbi2Q0M1QLJX9BeE&r=p7fL2tFZIEC-BlrujNfUe4HXhN3qtvNEkI7cEYaqJ5c&m=oj2lZ0iHVfOKl1OJSzf4VKf_9BKTwImbvACvx18ccqrnw2cXm13nNHTCRLihgRTY&s=FlvYjudo6WG-52rnIhtHvSXTjnE0KkDE0_fNsuDU9Dg&e=
The project will include a report, ideally in the project you should try and compare different methods NN, CNN or LSTM and regression trees, and to run
systematic hyperparameter tuning.