ML-Prediction-LoL VS csgo-impact-rating

Compare ML-Prediction-LoL vs csgo-impact-rating and see what are their differences.

ML-Prediction-LoL

In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game. (by reneleogp)

csgo-impact-rating

A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning (by phil-holland)
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ML-Prediction-LoL csgo-impact-rating
2 1
48 9
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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ML-Prediction-LoL

Posts with mentions or reviews of ML-Prediction-LoL. We have used some of these posts to build our list of alternatives and similar projects.

csgo-impact-rating

Posts with mentions or reviews of csgo-impact-rating. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-14.
  • A simple round outcome predictor project
    2 projects | /r/GlobalOffensive | 14 Jan 2023
    I did something similar a couple of years ago using gradient boosting to play around with an "impact" based player rating system, was a lot of fun to work on: https://github.com/phil-holland/csgo-impact-rating

What are some alternatives?

When comparing ML-Prediction-LoL and csgo-impact-rating you can also consider the following projects:

reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

shap - A game theoretic approach to explain the output of any machine learning model. [Moved to: https://github.com/shap/shap]

lolesports-predictor - Personal machine learning & GUI project to predict League of Legends Esports game results between two teams

CSGO-Pro-Gear-Performance-and-EDA - Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

shap - A game theoretic approach to explain the output of any machine learning model.

streamlit - Streamlit — A faster way to build and share data apps.

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.