Vinay Warrier's Projects
The ACL RD-TEC 2.0: A corpus of annotated terms in context from domain of computational linguistics
:soccer::chart_with_upwards_trend: A curated list of awesome resources related to Soccer Analytics.
Extracts data from A wiki of Ice and Fire
This repository contains the scripts and related files for the project module of the Coursera course "Getting and Cleaning Data" from John Hopkins University
Ember tab example
Plotting Assignment 1 for Exploratory Data Analysis
All files pertaining to the projects in Coursera's Exploratory Data Analysis course
πβ¨ Help beginners to contribute to open source projects
Tracking of football players and analysis
ANALYSIS OF FOOTBALL TRANSFERS IN EUROPE USING NETWORK SCIENCE Jan 2016 β Apr 2016 Project description Football is arguably the most popular game worldwide, and from a network perspective it provides myriad of data to analyse. Association Football in Europe is the hub for all the businesses related to the game as well as dream destinations of many players across the globe. The movement of a player from one club to another is termed a football transfer and this event has a fee involved between the dealing clubs, most of the time. Since such transfers make or break a clubβs performance for a season or more, they are a subject of immense interest in sports analytics and football betting. Using network science techniques, we analyze the European transfer market from data for 6 seasons spanning the top 5 countries playing football. We learn how this directed network of multiple attributes and dimensions can unravel and confirm some club performances based on network characteristics like betweenness centrality, reciprocity, and transitivity. The data is collected using Python and all social network analysis is performed using R.
repo to hold pdfs, notebooks, and data for FOT lectures
kloppy: standardizing soccer tracking- and event data
Functions to convert from LastRow tracking format to FoT friendly format
Open Content for self-directed learning in data science
Python coded examples and documentation of machine learning algorithms.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
My personal repository
A python package that is a wrapper for Plotly to generate football tracking and event data plots
Python module to scrape data from IMDb Top 250 and parse xml of movie data from OMDb API (www.omdbapi.com)
The "Python Machine Learning (2nd edition)" book code repository and info resource