as a datascientist, I have been exploring the open dataset (what a great tool!) in order to generate insights and also build a reparability predictor tool with fancy machine learning:
you can check the article here:
It’s really exciting to see the Open Repair dataset being downloaded and used like this, this is exactly the power of open data. And thanks for sharing the Jupyter notebook at https://github.com/JeanMILPIED/Repair.
I haven’t had chance to read through in detail yet, but look forward to discussing further when I do. I’m sure others like @Monique@Steve_Cook@Lewis_Crouch@Elena et al will be interested, too
Thanks a lot for your inspiring story and example! This is exactly what future development of the tools should enable! Not only for data scientists but also for the other citizens and repair initiatives! #sharepair
Hi all,
now that the databse is getting bigger and bigger,
it might be worth sharing it to the full datascience community by putting it public on Kaggle platform for example (have a look here: https://www.kaggle.com/datasets),
this would bring visibility to the dataset and I could add a kernel that runs on the dataset to explore simple features,
my ultimate goal would be to have a website tool that answers this question to any user “can my good be repaired?”
we can discuss more
Best regards
jean