combined-bukmacherska 0.6.0

Tools for analyzing sports statistics and using machine learning to assist in betting strategies.

# Combined 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:

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['średnia zdobytych'], statystyki1['średnia straconych'], 
              statystyki2['średnia zdobytych'], statystyki2['średnia straconych'])



### Zawartość połączonego pliku `__init__.py`

```python
"""
__init__.py for the combined_bukmacherska project.

This package contains utilities for training machine learning models,
statistical computations, and visualizations for sports and betting analysis.

Modules:
- `train_models`: Functions to train various classifiers.
- `predict_with_models`: Utility to make predictions using trained models.
- `plot_results`: Functions to visualize predictions and statistics.
- `gamma_function`: Functions for mathematical and statistical computations.
- `analiza_statystyczna`: High-level analysis of sports team statistics.
"""

from .train_models import train_models, predict_with_models
from .visualizations import plot_results, rysuj_wykresy
from .math_utils import gamma_function, beta_function, poisson_probability
from .statistics import oblicz_statystyki_druzyny, analiza_statystyczna