Python Project Using Jupyter Notebooks -- 7
Budget: $10 – $30 AUD
complete the following:
This project is to determine if weather patterns are synchronized on any scale but for the sake of the experiment, we can do one geographical region like the US Example: 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 areport, ideally in the project you should try and compare different methods NN, CNN or LSTM and regression trees, and to run systematic hyperparameter tuning.
NOTE
It must be done in Python and using Jupyter Notebook
It's coding and then a paper.
YOU ARE TO COMPLETE ONLY THE CODING PART
For the coding complete it in a pdf and .ipynb file..ipynb files are for Jupyter notebook
This project is to determine if weather patterns are synchronized on any scale but for the sake of the experiment, we can do one geographical region like the US Example: 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 areport, ideally in the project you should try and compare different methods NN, CNN or LSTM and regression trees, and to run systematic hyperparameter tuning.
NOTE
It must be done in Python and using Jupyter Notebook
It's coding and then a paper.
YOU ARE TO COMPLETE ONLY THE CODING PART
For the coding complete it in a pdf and .ipynb file..ipynb files are for Jupyter notebook
Related categories:
C Programming
Python
Machine Learning (ML)
C++ Programming
R Programming Language