This project analyzes and predicts sports match outcomes using machine learning## Inspiration
3jeja_V1.ipynb: The initial version of the analysis and modeling notebook. It includes basic data loading, cleaning, exploratory data analysis, and first attempts at feature engineering and model training.
3jeja_V2.ipynb: An improved version of V1. It features refined data preprocessing, enhanced feature engineering, improved model selection and evaluation, and possibly hyperparameter tuning and cross-validation.
3jeja_LLM_version.ipynb: This version incorporates Large Language Model (LLM) techniques. It uses LLMs for tasks such as text analysis or sentiment extraction from unstructured data (e.g., tweets), and may combine traditional ML with LLM outputs for richer predictions. it is still under work so it doesn't run and we reccomend using 3jeja_V2## What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for 3jeja app
Built With
- dart
- python
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