{"repo":"knaggita/Football-Dataset-Analysis","free":true,"listed":false,"github":"https://github.com/knaggita/Football-Dataset-Analysis","clone":"git clone https://github.com/knaggita/Football-Dataset-Analysis.git","description":"Football Dataset Analysis group project","language":"Jupyter Notebook","stars":40,"topics":["jupyter-notebook","python3","data-visualization","data-analysis","modeling","machine-learning","neural-networks","kaggle","football-data"],"license":null,"category":"machine-learning","readme_excerpt":"What is this project? Football Dataset Analysis is a group project meant to study, analyse and extract information from the kaggle football dataset. What does Kaggle mean? Kaggle, according to Wikipedia \"is an online community of data scientists and machine learners, owned by Google, Inc that allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.\" What is Football Dataset Analysis project about? The project is aimed at studying the kaggle football dataset, to analyse, extract information from it and make predictions based on the data. The main goal is to find the weaknesses and strengths of the team and assess the ways of measurement and improvement of the team performance. We got the most effective events and capitalised on their characteristics in order to achieve the set goal. Examples of events used to determine the extent of the teams' weaknesses: 1. Yellow and red cards served 2. Fouls against the team 4. Shoots off target 5. Penalty against the team 6. Offsides 7. Shot place 8. Too high 9. High and wide 10. Goals against the team Examples of events used to determine the extent of the teams' strengths: 1. Goals scored 2. Penalty 3. Cornes 4. Shoots on target 5. Shoots in bar 7. Shot place 8. Location 9. Penalty spot 10. Very close range 11. Difficult angle and long range 12. Difficult angle on the","default_branch":null,"files":null,"tree":[],"storefront":"/r/knaggita","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/knaggita/Football-Dataset-Analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}