reinforcement_learning_course_materials
ML-Prediction-LoL
reinforcement_learning_course_materials | ML-Prediction-LoL | |
---|---|---|
1 | 2 | |
902 | 43 | |
0.4% | - | |
8.3 | 0.0 | |
11 days ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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reinforcement_learning_course_materials
ML-Prediction-LoL
- something is fishy
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Machine learning project that predicts the outcome of a SoloQ match with 90% of accuracy
All the code and detailed information can be found here. GitHub link Please feel free to ask any question you may have!
What are some alternatives?
learn-monogame.github.io - Documentation to learn MonoGame from the ground up.
lolesports-predictor - Personal machine learning & GUI project to predict League of Legends Esports game results between two teams
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
csgo-impact-rating - A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
shap - A game theoretic approach to explain the output of any machine learning model.
LlamaIndex-course - Learn to build and deploy AI apps.
shap - A game theoretic approach to explain the output of any machine learning model. [Moved to: https://github.com/shap/shap]
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
gds_env - A containerised platform for Geographic Data Science
JustEnoughScalaForSpark - A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.