reinforcement_learning_course_materials VS ML-Prediction-LoL

Compare reinforcement_learning_course_materials vs ML-Prediction-LoL and see what are their differences.

reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University (by upb-lea)
reinforcement-learning Control Teaching teaching-materials Python Latex Prediction Machine Learning Course course-materials online-videos online-learning Tutorial lecture lecture-notes open-educational-resources open-education-resources open-education Jupyter jupyter-notebooks
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ML-Prediction-LoL

In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game. (by reneleogp)
Machine Learning league-of-legends gradient-boosting deep-neural-networks Prediction
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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

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

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.

What are some alternatives?

When comparing reinforcement_learning_course_materials and ML-Prediction-LoL you can also consider the following projects:

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.

reinforcement_learning_course_materials vs learn-monogame.github.io ML-Prediction-LoL vs lolesports-predictor reinforcement_learning_course_materials vs BestPractices ML-Prediction-LoL vs csgo-impact-rating reinforcement_learning_course_materials vs human-memory ML-Prediction-LoL vs shap reinforcement_learning_course_materials vs LlamaIndex-course ML-Prediction-LoL vs shap reinforcement_learning_course_materials vs get-started-with-JAX ML-Prediction-LoL vs Deep_Learning_Machine_Learning_Stock reinforcement_learning_course_materials vs gds_env reinforcement_learning_course_materials vs JustEnoughScalaForSpark