- Iโm interested in ML, data science and mathematics.
In my free time, I run a blog about machine learning and data science:
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๐ป datasciencedecoded.com
Predicting the results of matches in European leagues
License: MIT License
In my free time, I run a blog about machine learning and data science:
๐ท Instagram
๐ป datasciencedecoded.com
File "C:\Users\Private\football_predictions-master\football_preds\lib\site-packages\pandas\io\html.py", line 552, in _parse_tables
raise ValueError("No tables found")
ValueError: No tables found
I understand that maintaining an open-source project can be demanding, and I genuinely appreciate the effort you've put into it, Thank you
Hi,
Awesome project! I was going to do something similar myself but searched first and this looks like it ticks most of the boxes.
One thing is missing though: we need to test whether the model can make money when we bet on the predictions.
To do this we need to back test the model by comparing it's odds predictions with bookie odd, and then simulating a bet whenever bookie odds are greater than model odds.
I am more than happy to help out or just fork and do it myself but wondering if you had any ideas on this before?
I am more than happy to collaborate properly and share ideas over email or another method of messaging/comms.
Let me know what you think :-)
i dont know why but also if i followed your indication about library's installation ,it doesnt work and give me much warning on my CML
Hi @msoczi, nice work!
Is it possible to evaluate other leagues by importing the data? For example, minor leagues or other leagues in general.
Thank you
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