Overview In this project I set out to create a classification model in order to predict key characteristics where soccer players are expected to show significant market value growth in the short to mid-term future. I relied on data available on Transfermarkt.com, a European soccer player market valuation database/website used by soccer clubs around the world. Data Collection and Cleaning In order to collect the relevant data, I developed a scrapping program using Beautiful Soup on Python. After scraping all of the necessary data, I used python to remove any null values and standardized all data types. After collecting and cleaning the data through Python. I was finally ready to perform preliminary data exploration to find any key trends of themes in the dataset. Exploratory Data Analysis Size = Change in market value, X = age, Y = Market Value From an initial review of the dataset, I found that there was most likely a strong relationship between the age of the player and expected mar
Seiji Sasaki
First and foremost, thank you for visiting my website! This is where you can learn more about who I am as well as take a look at the past projects I have worked on regarding data analytics/science.