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I am glad you took time to review my wiki, where I'll explain this passion project.
If you are just interested in seeing how the classification part works, check out my Jupyter Notebook in this repo.
For a high level overview, you can start by reading the first page "1. Data Ingestion" and then continue in order. There, I will give an explaination of the difficulties I had to overcome, how I did so and the results I got. There will not be code explaination, but rather logical explainations of each step, only referring to code to associate each step with each Python module.
For a more technical overview, where I'll be focusing on how to use this repository, how to improve it for your own etc. refer to the Tech Rundown. However, there I am not going to cover the hows and whys of the decisions I took for structuring and developing the project. I am just going to tackle the parts you need to know, in case you want to clone this and repeat my steps and/or improve on them.