GitHub - The-Man-Steeve/Machine-Learning--Decision-Trees: In this project, I trained a decision tree model, as well as three variants of a decision tree (random forest, gradient boosting, and bagging) to predict the class of data/images from two datasets

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In this project, I trained a decision tree model, as well as three variants of a decision tree (random forest, gradient boosting, and bagging) to predict the class of data/images from two datasets

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Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
all_data		all_data
AI Transcript.docx		AI Transcript.docx
Project 2 Report.pdf		Project 2 Report.pdf
Project_2_Description.pdf		Project_2_Description.pdf
README.docx		README.docx
README.pdf		README.pdf
Results.xlsx		Results.xlsx
complete_results.txt		complete_results.txt
dtclassifier.py		dtclassifier.py
mnist_bagging.txt		mnist_bagging.txt
mnist_dt.txt		mnist_dt.txt
mnist_gb.txt		mnist_gb.txt
mnist_rf.txt		mnist_rf.txt
mnist_script.py		mnist_script.py
part2.py		part2.py
script.py		script.py

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In this project, I trained a decision tree model, as well as three variants of a decision tree (random forest, gradient boosting, and bagging) to predict the class of data/images from two datasets

machine-learning random-forest python3 mnist decision-tree-classifier gradient-boosting conjunctive-normal-form bagging-ensemble