LoL (League of Legends) game data analysis / analytics
-
Updated
Jan 7, 2025 - Python
LoL (League of Legends) game data analysis / analytics
Unique host templates to enhance own privacy in games, websites and regulary software on Desktop and Android devices
Flutter League is a companion app for League of Legends players that allows them to search for summoners, view their stats and match history, and check currently ongoing games.
A tiny event logging webservice for software analytics.
Business and performance KPIs drawn from game analytics using a large dataset
A futuristic and lightweight data platform for upcoming ROBLOX games.
A command line application that analyzes chess games in PGN file format
A Laravel-based web application that tracks, analyzes, and provides insights into visual novels published on itch.io. Features include game version tracking, dialogue analysis, character statistics, community ratings, and Discord integration for game updates.
Tools and services for Eternal Crusade: Resurrection (a multiplayer UE5 shooter)
A simple Facebook and Game Analytics integration for Unity on Android and iOS.
Addresses from which various server attacks and spyware originate
A predictive model for player retention/churn on day-14 after game installation based on features such as in-game metrics, user behavior, and engagement patterns to identify players at risk of churning, accurately predicting 65% of all retention within the top 6% of total population.
Leveling Candy Crush Episode's difficulty using Bernoulli principles
Unlight 對戰紀錄系統:自動匯入對戰紀錄、儲存至 MySQL,並以 PHP + Bootstrap 呈現排行榜與角色資訊。
Interpreting changelogs with ANOVA tests on DOTA 2
📊 A comprehensive Python toolkit that leverages local Large Language Models (LLMs) via Ollama to analyze Steam game reviews.
Inferential analysis with two sample t-tests and Mann Whitney U, to test a change implemented from a game patch
This project uses Natural Language Processing (NLP) and Machine Learning techniques to analyze user reviews of top-selling games on the Steam platform. The goal is to detect bug-related reviews using keyword filtering, assess user sentiment (positive, neutral, negative), and group similar games using clustering methods.
A simple A/B Testing in Python with 95% confidence level to assess the impact of varied difficulty settings, demonstrating significantly higher character experience with game balance adjustment.
💻Intelligent Recommender System Development for Online FPS Game: Destiny II
Add a description, image, and links to the game-analytics topic page so that developers can more easily learn about it.
To associate your repository with the game-analytics topic, visit your repo's landing page and select "manage topics."