Inspiration
Practise of machine learning and how to apply it in real-world
What it does
Predicts match result based on the actual statistic of each player in the team
How I built it
Scraped information from the webpage(included in the notebook), created datasets, choose Linear Model, fit model, had a lot of troubleshooting, predicted.
Challenges I ran into
Many errors with shape and type of data for training, lack of data.
Accomplishments that I'm proud of
After so many attempts, I got a result, even if it is not 100% correct.
What I learned
Pytorch library, Pandas and Numpy datatype converting
What's next for Soccer Match Predicting Model
Add a lot more data for training of the model
Built With
- beautiful-soup
- google-colab
- numpy
- pandas
- python
- pytorch
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