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Paul Musco's Projects

adsquare-assignment icon adsquare-assignment

AdSquare Data Analysis Exercise: Analysing the visitation of stores made by users, given GPS signals of users, and outline of the stores. Also exploring the demo-behavioural relationship between user affinities and specific stores they have visited.

data-ber-08-20 icon data-ber-08-20

Main Official Data Labs for the August 2020 Berlin Data Analytics Cohort

fantasy-premier-league icon fantasy-premier-league

Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

football_analytics icon football_analytics

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), with links to publicly available resources in the football analytics community.

home24_task icon home24_task

Take home task as part of job application for position at home24.

ironhack-project-1 icon ironhack-project-1

Ironhack project, week 1: Build a Python game. Create a game that interacts with the user, using functions and basic python resources - take an input from the user and provide an output.

ironhack-project-2 icon ironhack-project-2

Ironhack project , week 2: Data cleaning and manipulation with Pandas. The goal of this project is to combine data wrangling, cleaning, and manipulation skills within Pandas.

ironhack-project-3 icon ironhack-project-3

Ironhack project, week 4: Tableau - choose a data set, explore the data using Tableau, and put together a Story for presentation showing the insights you have derived from the data. I chose to analyse the decisions and tactics of the Top 50 Fantasy Premier League managers for the 2019/20 season.

ironhack-project-4 icon ironhack-project-4

Ironhack project, week 5: Statistical Analysis - the goal of this analysis is to identify the most important features of houses that affect the sale prices.

messi-barcelona-analysis icon messi-barcelona-analysis

Final Ironhack project: an analysis of the Lionel Messi era at Barcelona - Analysis of Messi's season-by-season output / Using regression to predict Messi's future output / Using Machine learning to predict if a shot will result in a goal or not.

opendata icon opendata

SkillCorner Open Data with 9 matches of broadcast tracking data.

project_data_thieves icon project_data_thieves

Ironhack group project, week 3: choose a topic and find all the relevant data yourselves using at least 2 of the following methods: APIs, web scraping, CSV downloads. We chose to analyse a potential correlation between endangered mammal species and land use (deforestation/protected areas) by country.

smart-meters-analysis icon smart-meters-analysis

Ironhack group project, week 6: create and interpret different types of visualizations using real world data as well as statistical analysis.

sportstatsanalysis icon sportstatsanalysis

Project exploring data collection, visualisation and analysis of Sports Statistics.

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