Procedural generation of tree models in blender
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Jul 11, 2025 - Python
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tree-model
Here are 19 public repositories matching this topic...
SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
data-science machine-learning statistics data-analysis tree-model multi-class-classification binary-classifiers recursive-feature-elimination shap feature-elimination regressors
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Apr 19, 2025 - Python
Eloquent Tree is a tree model for Laravel Eloquent ORM.
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Sep 15, 2018 - PHP
Machine learning model for Credit Card fraud detection
python machine-learning random-forest xgboost logistic-regression class-imbalance tree-model svm-classifier knn-classification capstone-project smote-sampling
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Jan 10, 2021 - Jupyter Notebook
Manipulating the tree structure.
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Jun 5, 2024 - TypeScript
Reference for "Don't get lost in a forest" post: a guide to tree based modeling in R
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Oct 5, 2017 - R
Analyze how gaps affect the detection of relaxed selection by 'RELAX' in terms of number of gaps, length of gaps and number of species.
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Jan 15, 2021 - Perl
A machine learning project to detect credit card frauds using real-world transaction data.
machine-learning random-forest python3 xgboost logistic-regression class-imbalance tree-model svm-classifier knn-classification capestone-project smote-sampling
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Jul 16, 2025 - Jupyter Notebook
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
python machine-learning time numpy scikit-learn pandas data-preprocessing tree-model decision-tree-classifier kaggle-dataset classification-model snapml
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Nov 20, 2023 - Jupyter Notebook
Machine Learning model for Credit Card Fraud Detection
python data-science machine-learning random-forest xgboost logistic-regression class-imbalance tree-model svm-classifier knn-classification
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Sep 21, 2023 - Jupyter Notebook
Predicting the sales of various items for different stores
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Jul 27, 2022 - Jupyter Notebook
Machine learning model for Credit Card fraud detection
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Jun 20, 2025 - Jupyter Notebook
With Spark, you can associate column names and scores with which feature are important in Decision Tree training results
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Oct 13, 2020 - Java
Machine learning model for Credit Card fraud detection
python machine-learning random-forest xgboost logistic-regression class-imbalance tree-model svm-classifier knn-classification smote-sampling
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May 8, 2021 - Jupyter Notebook
This project is dedicated to advanced machine learning techniques for credit card fraud detection, providing a solution to protect financial institutions and their clients by predicting and preventing fraudulent transactions in a highly imbalanced dataset.
python random-forest machine-learning-algorithms logistic-regression class-imbalance tree-model svm-classifier knn-classification smote-sampling
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Nov 2, 2023 - Jupyter Notebook
Prediction model to send targeted emails to maximize ROI.
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May 27, 2017
🔍 Detect credit card fraud efficiently using advanced machine learning techniques, achieving high accuracy rates on a large dataset of transactions.
random-forest tensorflow scikit-learn postgresql keras data-visualization credit-card-fraud kaggle xgboost logistic-regression class-imbalance tree-model fraud-detection anomaly-detection fraud adasyn plotly-python frauddetection
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Oct 18, 2025 - Python
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