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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: 2 days ago - Pushed at: 2 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: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0