Arif P. Sulistiono's Projects
Machine learning Fantasy Premier League team
Anomaly detection related books, papers, videos, and toolboxes
Under development
Analysing Fantasy Premier League data set with R
Projects related to the World Bank's Debt Statistics
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
fetch Fantasy Premier League (FPL) data
This package enables those interested in Fantasy Premier League to perform detailed data analysis of the game, using the FPL's JSON API. The fplscrapR functions help R users collect and parse data from the Official Fantasy Premier League website.
Plot soccer event data in R/ggplot2
Additional themes, scales, and geoms for ggplot2
Google Machine Learning Crash Course
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Updated on 5 Nov. 2021
Lecture notes for EC 607
Slides from our talk at the useR 2022 conference on "The Untold Story of palmerpenguins"
Predicting stock price using LSTM method
scikit-learn-mooc
A repository with scraping code and soccer dataset from understat.com.