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Search: decision-tree-python
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Showing 10 results from 65
TatevKaren/data-science-popular-algorithms
GitHub Jupyter NotebookData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
External source
GitHub
shreyasharma04/HealthChatbot
GitHub Python๐ค HealthCare ChatBot Major -1 (4th year - 7th semester) Health Care Chat-Bot is a Healthcare Domain Chatbot to simulate the predictions of a General Physician. ChatBot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks ... Read more
External source
GitHub
michaeldorner/DecisionTrees
GitHub TeX GNU General Public License v3.0Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
External source
GitHub
ryanmadden/decision-tree
GitHub PythonC4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting
External source
GitHub
a-partovii/Gini-Impurity
GitHub PythonThis repository contains Python scripts for calculating the Gini Impurity measure for each feature in a relational dataset, great for feature selection, data preprocessing, decision tree construction, binary classification tasks.
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GitHub
serengil/decision-trees-for-ml
GitHub Jupyter Notebook MIT LicenseBuilding Decision Trees From Scratch In Python
External source
GitHub
aia-uclouvain/pydl8.5
GitHub C++ MIT LicenseAn algorithm for learning optimal decision trees, with Python interface
External source
GitHub
appleyuchi/Decision_Tree_Prune
GitHub CDecision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).
External source
GitHub
david-cortes/outliertree
GitHub C++ GNU General Public License v3.0(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
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GitHub
Eligijus112/decision-tree-python
GitHub Jupyter NotebookDecision tree implementation from scratch
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GitHub
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