27 results for “topic:fifa18”
fut is a simple library for managing Fifa 19 Ultimate Team.
A complete catalog of all the players in Fifa 18 and their complete statistics.
Fifa WorldCup 2018 Fixture In Your Local Time
Web-scraping script that writes the data of all players from FutHead and FutBin to a CSV file or a DB
This repository contains the whole project. This project was intended to exhibit as a DBMS project but it can also act as a web development project as it includes complete front end and back end.
A SoFIFA webcrawler and Machine Learning prediction
penalty shootout prediction using CNN classifier on FIFA18
In this project, we created an 'expected goals' metric to help us assess a team's performance rather than the actual number of goals scored. We merged this metric with the calculation of a team's offensive and defensive ratings, which are updated after every game, to create a classification model that predicts the outcome of future matches, as well as a regression model that predicts the score of future games Our models outperform existing traditional techniques and achieve similar accuracy to betting sites' models.
FIFA Ultimate Team 18 Scraper
No description provided.
I put all my projects here
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FIFA WORLDCUP 2K18 Matches, Teams, Statistics and much more !! Written in Golang . Visit:- https://gofifa2k18.herokuapp.com/
Analyzing EA FIFA 18 dataset
No description provided.
A complete catalog of all the players in Fifa 2018 and their complete statistics
A Github single page application about machine learning and statistics FIFA data
Complete data of all the 736 players in FIFA wolrld cup 2018 with club details
Welcome to the FIFA World Cup 2018 Prediction project! This repository showcases a comprehensive statistical analysis of FIFA player and team data using Bayesian inference techniques. By leveraging these advanced methodologies, we provide deep insights into team performance, win probabilities, and more.
Very basic USMNT team optimization based on 2018 FIFA Player db ratings
Match tracker for the 2018 Fifa World Cup, designed for sweepstakes
No description provided.
Ann and logistic regression to predict player position using player attributes data.
A research project that study the best approaches to classify the role of a soccer player by using his phisical and technical features. Built with @lucamarini22.
Machine Learning project for course Big Data with Machine Learning delivered by MDH
No description provided.
A player management software for monitoring and accessing players based on their FIFA 18 PC/XBOX Game ratings.