analysis of fifa 19 player dataset in order to help managers better signings
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Updated
May 23, 2020 - Python
analysis of fifa 19 player dataset in order to help managers better signings
An Analysis on Kobe Bryant's Play Style on Team Success
Web-scraping data from Wikipedia and building a map of Russia with regions in R.
A clustering based analysis of pass types in women's hockey to determine which passes contribute to high quality chances in build up play.
strava vizualisation tool
The GUSA Games Medals Data from 2014 to 2018.
The simplest possible sports classifier.
Identification of bogey teams or players in sport
A nonparametric statistics case study on the evolution of driving distance and driving accuracy on the PGA Tour.
Created and optimized machine learning models to predict salaries of NHL players.
Strava uploader
I wanted to find out: Do NBA teams in the regular season only care about defense in the 4th quarter? -->Statistical analysis of 4th quarter in comparison to the first three quarters. The data are from the 2019/2020 NBA season
Predicting Outcomes of Basketball Games Using Machine Learning
Extensive web scraping, data collection and visualisation analysis for cricketers and cricket matches
Web app used to display where teams create and concede chances from. The plot shows the average Chance Rating of a team binned by location of the assist.
Quantifying sentiment scores across the NFL, NBA, NHL, and MLB using social media data.
Sports Analytics on Kaggle's IPL Dataset
Nowadays, sports events live above all from their media coverage, which includes cheering up winners and writing down losers. Statitstics are used to underpin the own argumentation in this reports. But is there any cherry picking here? Are only those statistics used that make the report/commentary look completely logical? In order to give an ini…
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