Metadata-Version: 2.2
Name: combo_bukmacherska
Version: 1.2.0
Summary: Opis Twojego projektu
Home-page: https://github.com/twoj_github/combo_bukmacherska
Author: Twoje Imię
Author-email: twoj_email@example.com
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: summary

# Comb1n3d Bukmacherska

**Combined Bukmacherska** is a project that provides tools for analyzing sports statistics and using machine learning to assist in betting strategies. The package offers utilities for training machine learning models, statistical analysis, and data visualization.

## Features

- **Train Machine Learning Models**: A suite of classifiers, including Random Forest, Gradient Boosting, SVM, and more.
- **Statistical Analysis**: Analyze team performance metrics like average goals scored/conceded.
- **Mathematical Utilities**: Tools for Gamma distribution, Beta distribution, and Poisson probabilities.
- **Visualizations**: Generate line, bar, and 3D plots for data analysis.

## Installation

Clone the repository and install dependencies:

```bash
git clone <repository-url>
cd combined_bukmacherska
pip install -r requirements.txt

from combined_bukmacherska.train_models import train_models, predict_with_models

# Example data
X_train, X_test, y_train, y_test = ...  # Replace with your dataset
models = train_models(X_train, y_train)
predictions = predict_with_models(models, X_test)

from combined_bukmacherska.statistics import analiza_statystyczna, oblicz_statystyki_druzyny

druzyna1 = {'zdobyte': 30, 'stracone': 20}
druzyna2 = {'zdobyte': 25, 'stracone': 15}
mecze = 10

statystyki1, statystyki2 = analiza_statystyczna(druzyna1, druzyna2, mecze)

from combined_bukmacherska.visualizations import rysuj_wykresy

rysuj_wykresy(statystyki1['Ĺ›rednia zdobytych'], statystyki1['Ĺ›rednia straconych'], 
              statystyki2['Ĺ›rednia zdobytych'], statystyki2['Ĺ›rednia straconych'])


