Procedural generation of tree models in blender
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Updated
Jun 6, 2024 - Python
Procedural generation of tree models in blender
Eloquent Tree is a tree model for Laravel Eloquent ORM.
Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
Machine learning model for Credit Card fraud detection
Manipulating the tree structure.
Reference for "Don't get lost in a forest" post: a guide to tree based modeling in 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.
With Spark, you can associate column names and scores with which feature are important in Decision Tree training results
Machine learning model for Credit Card fraud detection
Machine Learning model for Credit Card Fraud Detection
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
Prediction model to send targeted emails to maximize ROI.
Predicting the sales of various items for different stores
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.
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