GitHub topics: predictive-model
saccofrancesco/deepshot
DeepShot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (67.16%)
Language: Jupyter Notebook - Size: 54 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 19 - Forks: 1
Harsh19012003/Dronacharya
College Recommendation System for Engineering Admission
Language: HTML - Size: 657 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 3
Ogarit/Analise_do_Setor_de_Marketing-Empresa_Ficticia
O projeto analisa os investimentos de uma empresa fictícia no YouTube, Facebook e Jornal, identificando os melhores retornos.
Language: Jupyter Notebook - Size: 580 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
4702chahat/Rock-Vs-Mine
This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine
Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
jxm35/sports-book
Predictive Football Model & backtesting simulation written to run on AWS.
Language: Go - Size: 51.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
