NFLs Vector - Moozonian

GitHub Repo https://github.com/zacharysnow/nfl-stats-rag-system

zacharysnow/nfl-stats-rag-system

Built a hybrid RAG + AI agent system using NFL statistics data, LlamaIndex, Ollama, and ChromaDB. Queries a custom vector database with web search fallback and tool-based reasoning, deployed via Streamlit.

GitHub Repo https://github.com/sinsfv6/yk-the-code-

sinsfv6/yk-the-code-

pull vector on NFL Unieveres football

GitHub Repo https://github.com/Nihilish/NFL-Team-Logos-XMLs

Nihilish/NFL-Team-Logos-XMLs

XML drawables of every NFL team logo for your projects!

GitHub Repo https://github.com/mmfox/Beating-Daily-Fantasy-Football

mmfox/Beating-Daily-Fantasy-Football

Stanford School of Professional Development class CS229 Final Project. I grabbed data from publicly available nfl stats libraries, processed the data to create interesting feature vectors, applied the Normal Equations to create linear regressions for point prediction, and then analyzed performance of my algorithm against DraftKings tournament results.

GitHub Repo https://github.com/danielfoster15/hail_mary_rnn

danielfoster15/hail_mary_rnn

nfl game predictions based on player statistic-based vector model

GitHub Repo https://github.com/areffallah/Machine-Learning-classifiers-Fishers-Linear-Discrimination-VS-Linear-Support-Vector-Machine

areffallah/Machine-Learning-classifiers-Fishers-Linear-Discrimination-VS-Linear-Support-Vector-Machine

Keeping NFL (no free lunch) theorem in machine learning in mind, the best way to find the best algorithm to solve a specific problem is put them on the test. The objective of this project is to classify Normal and Imbalanced operation of an Induction Electric Motor based on the recorded data from 8 different sensors. The following presents a portion of this 1000 data. In this dataset, Normal is classified as “0” and Imbalanced is classified as “1”.

GitHub Repo https://github.com/adolago/gridsight

adolago/gridsight

Vector embeddings of historical NFL play-by-play data for similarity search algorithms that identify patterns human analysts miss. Multidimensional relationships between game situations, player performance, and outcomes.

GitHub Repo https://github.com/romanlutz/fantasy-football-prediction

romanlutz/fantasy-football-prediction

Accurate predictions of Fantasy Football scores can make a difference in a Fantasy Football league. The provided files were used to create a dataset and evaluate Machine Learning techniques, namely Support Vector Regression and Neural Networks, on 2014 NFL game data.