NFL-Predictions

NFL is one of the most followed game having millions of followers all around the world.The current work involves the prediction of NFL match results by using a custom model incorporating a deep neural network and ticket prices for the match using regression modelling. This work considers the most important factor in NFL, the momentum. The prediction model has the capability to get better accuracy than previous models reported. All predictions are made for Week 17 by learning from Week 1 –16’s data.

Project Title -

NFL PREDICTION Our project deals with predicting the outcome of week 17 in a regular season.We are also predict the ticket prices of each game

Getting Started

To setup the project run the code on r-studio

Prerequisites

The compier version under which the project is executed - 3.4.2 The r-studio version - R-studio - 1.1.383 THe following libraries are required to run our project on another local machine

library(neuralnet) library(ggpubr) library(rvest) library(stringr) library(MASS) library(caret)

also the local machine has to be equiped with R- code compiler

Installing

To install each of the of the library run install.packages("package-name")

R compiler link https://cran.r-project.org/bin/windows/base/

R studio IDE link https://www.rstudio.com/

Running the tests

In the compile the code and click on run . The output will automatically be displayed on the screen

What does the test indicate

The following test tells how accurate is the model in being able to predict the win and loss of a game.

And coding style

The following code was build under windows platform and uses the windows style of coding

Deployment

No further deployment is required

Built With

• Rstudio - The framework used
• R-compiler -The R - Compiler used

Contributing

The project is still in its budding stage any contribution to would be appreciated and anyone can freely contribute to this project in increasing the accuracy of the model

Versioning

The version under which the project was built R-compiler - 3.4.2 R-studio - 1.1.383

Authors

• Athul Pai
• Akhil k
• Arnav D

See also the list of contributors who participated in this project.

License

The is project is not licensed and is availiable freely for being used in any kind of way the user intends

Acknowledgments

I would like to thank r-bloggler for their descriptive explanation of every function in R some which is used in this project.