Projects in Awesome Lists tagged with descision-tree
A curated list of projects in awesome lists tagged with descision-tree .
https://github.com/jd-opensource/utboost
A powerful tree-based uplift modeling system.
causal-inference descision-tree gbm gradient-boosting uplift-modeling
Last synced: 13 Apr 2025
https://github.com/bastianblokland/typedtree-editor
Web editor for typed tree structures. (like decision / behaviour trees)
behaviour-tree descision-tree json-tree tree-editor webapp
Last synced: 19 Mar 2025
https://github.com/nirab25/Insurance-Claim-Fraud-Detection
Insurance claim fraud detection using machine learning algorithms.
balanced-random-forest descision-tree insurance-claims knn-classification knn-classifier linear-discriminant-analysis machine-learning mlp-classifier naive-bayes-classifier neural-network random-forest xgboost
Last synced: 27 Nov 2024
https://github.com/tanaybhadula/phishing-website-detection
A web application to predicted whether a URL/Website is phishing or not by extracting its lexical features.
classification descision-tree flask machine-learning pandas phishing-detection python random-forest scikit-learn stacking-classifier svm-classifier xgboost
Last synced: 16 Mar 2025
https://github.com/bastianblokland/typedtree-generator-unity
Unity package for generating 'treescheme' files based on dotnet assemblies.
behaviour-tree descision-tree json-tree tree-editor unity upm
Last synced: 07 Apr 2025
https://github.com/samarth4023/machine-learning
📊 Machine Learning - Hands-On Learning & Solved Notebooks This repository contains solved graded notebooks with test cases and ungraded practice notebooks covering core Machine Learning concepts, including Supervised & Unsupervised Learning, Advanced Learning Algorithms and more. Perfect for structured learning and hands-on practice! 🚀
descision-tree machine-learning recommender-system regression reinforcement-learning supervised-learning unsupervised-learning
Last synced: 11 Apr 2025
https://github.com/abhipatel35/automated-machine-learning-pipeline-for-iris-dataset-classification
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
automated-machine-learning classsification data-preprocessing descision-tree dimentionality-reduction end-to-end-ml-workflows iris-dataset machine-learning-pipeline python random-forest scikit-learn
Last synced: 19 Feb 2025
https://github.com/ahmedabdalkreem/diabetes
Complete project of people that have diabetes and show what features that explain that person be sick.
bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier
Last synced: 06 Mar 2025
https://github.com/abhipatel35/diabetes_ml_classification
Predict diabetes using machine learning models. Experiment with logistic regression, decision trees, and random forests to achieve accurate predictions based on health indicators. Complete lifecycle of ML project included.
classification data-analysis data-science data-visualization descision-tree diabetes-prediction jupiter-notebook logistic-regression machine-learning model-evaluation open-source pandas pycharm-ide python random-forest scikit-learn
Last synced: 06 Apr 2025
https://github.com/saurabhjalendra/diabetes-risk-prediction-
This repository contains a machine learning project for predicting diabetes risk based on patient symptoms and characteristics. The model analyzes factors like polyuria, polydipsia, and other clinical indicators to identify individuals at high risk of diabetes.
descision-tree diabetes-prediction feature-engineering hyperparameter-tuning k-nearest-neighbours logistic-regression naive-bayes random-forest support-vector-machines
Last synced: 06 Apr 2025
https://github.com/bastianblokland/typedtree-generator-dotnet
Cli tool for generating 'treescheme' files based on dotnet assemblies.
behaviour-tree descision-tree json-tree tree-editor
Last synced: 07 Apr 2025
https://github.com/shubhamsoni98/classification-with-decision-tree
This project predicts iPhone purchases using demographic data (gender, age, salary). A Decision Tree Classifier was used, achieving 88.16% accuracy. Insights from the model can refine marketing strategies, optimize product offerings, and boost sales by targeting key customer segments.
algorithms anaconda classification data data-science descision-tree jupyter-notebook machine-learning prediction python
Last synced: 05 Apr 2025
https://github.com/khushi130404/standardize_purchase
Standardized Purchase is a Python program that predicts item purchases based on age and salary, demonstrating the effect of standardization on Logistic Regression and Decision Trees, with visualizations via scatter and KDE plots.
descision-tree logistic-regression matplotlib python sklearn standardization
Last synced: 23 Feb 2025
https://github.com/vpratham/remote-vulnerability-assessment-tool
A cybersecurity project, aimed to make compliance checks on remote devices easier to mitigate the threat imposed by persistence techniques in the digital world.
cybersecurity descision-tree machine-learning packet-capture packet-sniffer python security-analysis security-audit security-automation security-software security-tools
Last synced: 02 Mar 2025
