Pre-process Data

Freelancer Project: Preprocessing Historical Soccer Dataset Project Overview: The objective of this freelancer project is to preprocess the historical soccer dataset, [login to view URL], and extract relevant features to create a dataset suitable for machine learning training. The dataset contains information about soccer matches, including the teams playing (HomeTeam and AwayTeam), match results (FTR - Full Time Result), and other performance-related metrics such as team positions, goals scored, goals conceded, and recent match history. Project Tasks: Create a function to generate a league table: The function will take the historical dataset, [login to view URL], as input. It will calculate the team positions based on points (PTS), matches played (MP), wins (W), draws (D), losses (L), goals for (GF), goals against (GA), and goal difference (GD). Create a function to calculate team-specific performance metrics: The function will take the historical dataset, [login to view URL], and a team name as input. It will calculate the following statistics for the given team: homeLast1, homeLast2, homeLast3, homeLast4, homeLast5, homeScore awayLast1, awayLast2, awayLast3, awayLast4, awayLast5, awayScore Loop through the dataset to calculate team-specific performance metrics for each match: Please refer to the attached code, sample output, and detailed description or chat me for more clarification.