Adam Corren's repositories
fbref_football_player_data_scraper
Creates csv files containing football data scraped from the website www.fbref.com
horse_racing_data_analyzer
Program that combines and analyses bookmaker, exchange and live hourly UK and Ireland horse racing data to create daily data csv files.
fantasy_football_selecting_squads
FPL 5 - Incorporating player costs to optimise squad selection
pandas_to_mysql_optimisation
Comparing methods of bulk inserts from pandas data frames to mysql servers
fantasy_football_data_wrangling_pandas
FPL 1 - Wrangling data to create a data set ready for machine learning
fantasy_football_predicting_clean_sheet
FPL 3 - Creating a BayesianRidge linear regression model to predict the probability of a team keeping a clean sheet in future matches.
fantasy_football_predicting_player_points
FPL 4 -Predicting FPL player points based on predicted goals, scored, conceded and player form.
fantasy_football_predicting_team_goals
FPL 2 -Creating a BayesianRidge linear regression model to predict the number of goals a football team will score and concede in future matches.
fantasy_football_project_report
Using Machine Learning to Mitigate Human Bias: Fantasy Football
global_leading_living_standards_index
Annual index, ranking of countries providing the best global living standards
horse_racing_project_report
Applying Exploratory Analysis to Outperform Sports Exchanges
visualizing_climate_change
Visualizing the Effects of Man-Made Climate Change
horse_racing_study_1
Study of various price sources in the UK and Ireland horse racing markets.
horse_racing_study_2
Study of the accuracy of price ranges and how they differ across various price suppliers in the UK and Ireland horse racing markets
horse_racing_study_3
Study on the impact of cross-platform discrepancies on market uncertainty in UK and Ireland horse racing markets
horse_racing_study_4
Study on the effect of price movements on market reliability in UK and Ireland horse racing markets.
pandas_flash_cards
This program utilises pandas and Excel files to create custom flashcards.