An asynchronous Python package for https://understat.com/.
-
Updated
Jul 29, 2024 - Python
An asynchronous Python package for https://understat.com/.
A machine learning/statistical model to derive prediction probabilities for football matches of the top european leagues.
出售德州AI核心算法和训练大模型,有意者Telegram :@Alibaba401;MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
Simple python package to identify optimal bet size and odds using basic Kelly Criterion and Expected Values.
In this project, the inverse normal Cumulative Distribution Function (CDF), Monte Carlo Expected Value have been implemented with the help of Python functions.
Binomial distribution expected value.
Develop an expected strokes model to identify player performance for the 2011 PGA TOUR Championship
A lightweight, header-only C++ library that provides a result type for monadic error handling .
A collection of statistical algorithms.
Repository to preview, describe, and link to Tableau dashboard.
A College project used as for calculating a user's expected rating for recommendation purposes
Machine Learning Expected Value Variance Co-variance
Expected Error Handling implementation in Java
This repository contains exercises on statistical analysis and probability calculations. Each question is answered with detailed explanations, covering topics like data types, probability distributions, expected values, descriptive statistics, skewness, kurtosis, confidence intervals, & hypothesis test
Add a description, image, and links to the expected-value topic page so that developers can more easily learn about it.
To associate your repository with the expected-value topic, visit your repo's landing page and select "manage topics."