Traceback (most recent call last):
File "C:\Users\mik.fit\Desktop\football-predictor-master\predict.py", line 3, in
import tensorflow as tf
ImportError: No module named tensorflow

import betting

ModuleNotFoundError: No module named 'betting'

Hi. I work on ML, specifically deep learning. I also wondered, just like most of the football lovers, whether deep learning algorithms can predict the results of the matches. I am going to try some method but want to say and hear something about data. I see that statistics, lineups, footballers and some complicated information about two teams are being used as data. As I know, betting companies are already using these collected pieces of information to be able to determine betting odds for two teams' victory, the draw, half time, full time, number of goals etc. Why do not we use just these betting odds? or why should not we use just these betting odds?

Hello, I don't manage to get the performance to your level:

I'm just running your code as it is, why there should be such difference in the performance?

How to make prediction for a single match. I'm beginner

How do I use the model thus created to predict result of actual matches?