-
Updated
Aug 27, 2024 - Jupyter Notebook
score-predictor
Here are 4 public repositories matching this topic...
An AI-based IPL Score Predictor built with Python using a neural network to estimate a team’s total score. It analyzes match details like venue, teams, and players. The model uses dense layers, Huber Loss, and Adam Optimizer. A simple UI with ipywidgets allows real-time predictions.
-
Updated
Apr 25, 2025 - Python
Built Score Predictor using few Regression models to predict scores for each MLB team.
-
Updated
Oct 6, 2020 - Jupyter Notebook
In this project I have created an men's t20 internationals cricket score predictor considering various factors like batting team, bowling team, current score etc. and got an 99% r2 score on training and 98% r2 score on testing.
-
Updated
Jul 3, 2024 - Python
Improve this page
Add a description, image, and links to the score-predictor topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the score-predictor topic, visit your repo's landing page and select "manage topics."