GitHub - EddieTGH/ML-Aim-Analyzer: A Python program using various libraries including Tkinter, Scikit-Learn, Matplotlib, etc. to create a graphical user interface using machine learning to help users determine how “warmed up” they are to play their favorite first-person shooter (FPS) game. Analyzes past data pairs, ie. a 90% accuracy (level of performance in warm-up aim tasks) producing an average combat score of 263 (level of performance in-game), in order to utilize future warm-up aim task accuracy results to determine a predicted average combat score in the upcoming game.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
__pycache__		__pycache__
USA_cars_datasets.csv		USA_cars_datasets.csv
ball.png		ball.png
ballResized.png		ballResized.png
config.json		config.json
hello.py		hello.py
machineLearning.py		machineLearning.py
sample_ML_code.py		sample_ML_code.py
trainer.py		trainer.py
warmuptestervalorant-firebase-adminsdk-ynxs8-8d9f42b78f.json		warmuptestervalorant-firebase-adminsdk-ynxs8-8d9f42b78f.json

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A Python program using various libraries including Tkinter, Scikit-Learn, Matplotlib, etc. to create a graphical user interface using machine learning to help users determine how “warmed up” they are to play their favorite first-person shooter (FPS) game. Analyzes past data pairs, ie. a 90% accuracy (level of performance in warm-up aim tasks) p…

gui scikit-learn tkinter matplotlib scikitlearn-machine-learning aim-trainer valorant