semvec/pypi-packages huggingface dataset:
stalowa-bukmacherska 0.4.0
A description of your project
Requires Python: >=3.6

# Sports Analytics Package

This Python package provides tools to perform statistical analysis and prediction modeling on sports data, with a focus on soccer/football match outcomes and team statistics. It includes a range of mathematical functions, machine learning models, and visualizations for analyzing match data.

## Features

- **Statistical Calculations**: Functions for calculating expected values, Poisson distribution probabilities, variances, entropies, and more.
- **Team Statistics**: Calculate team performance metrics such as average goals scored and conceded, match outcomes, and more.
- **Machine Learning Models**: Training and prediction using various classifiers such as Random Forest, SVM, Naive Bayes, and others.
- **Visualizations**: Interactive plots for visualizing team statistics, match results, and predictive outcomes, including 3D plots.
- **Gamma and Beta Functions**: Access to essential mathematical functions, including Gamma, Beta, and Poisson distributions, for statistical modeling.

## Installation

You can install this package using pip by running the following command:

```bash
pip install sports-analytics-package

git clone https://github.com/yourusername/sports-analytics-package.git
cd sports-analytics-package
pip install .

from sports_analysis_package import analiza_statystyczna, rysuj_wykresy

# Example data
druzyna1 = {'zdobyte': 30, 'stracone': 20}
druzyna2 = {'zdobyte': 25, 'stracone': 15}
mecze = 10

# Perform statistical analysis
statystyki1, statystyki2 = analiza_statystyczna(druzyna1, druzyna2, mecze)

# Visualize the results
rysuj_wykresy(statystyki1['Ĺ›rednia zdobytych'], statystyki1['Ĺ›rednia straconych'],
              statystyki2['Ĺ›rednia zdobytych'], statystyki2['Ĺ›rednia straconych'])


### How to use:
1. Place the Python code you provided in a module or package folder (e.g., `sports_analysis_package`).
2. Include the above `__init__.py` in your main package folder.
3. Add the `README.md` to the root directory of your project to document the usage and installation steps.

Let me know if you need more details or assistance!