sk-2013 Goto Github PK

2018-world-cup-predictions-using-decision-trees

Abstract In this study, we predict the outcome of the football matches in the FIFA World Cup 2018 to be held in Russia this summer. We do this using classification models over a dataset of historic football results that includes attributes from the playing teams by rating them in attack, midfield, defence, aggression, pressure, chance creation and building ability. This last training data was a result of merging international matches results with AE games ratings of the teams considering the timeline of the matches with their respective statistics. Final predictions show the four countries with the most chances of getting to the semifinals as France, Brazil, Spain and Germany while giving Spain as the winner.

ai-applications

Data Science Projects

ai-sk-project

AI Linux Foundation Projects

data-science-insights

Data Science Projects exploration on Machine Learning , Deep Learning and Artificial Intelligence with Python and R Programming

data-science-projects

Data Science projects like ML/AI/DL with Python/R

datasciencecoursera

Data Scientist ToolBox

hello-world

helloworld

Hello Data Science

https-github.com-rdpeng-programmingassignment2

list-of-us-states

List of US States in various Rails friendly formats

loan-prediction-analyticsvidya

solution to the question loan prediction ?

states_csv

csv file for the R programming week3 homework