Prediction model to send targeted emails to maximize ROI.
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Updated
May 27, 2017
Prediction model to send targeted emails to maximize ROI.
Reference for "Don't get lost in a forest" post: a guide to tree based modeling in R
Eloquent Tree is a tree model for Laravel Eloquent ORM.
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
Analyze how gaps affect the detection of relaxed selection by 'RELAX' in terms of number of gaps, length of gaps and number of species.
Machine learning model for Credit Card fraud detection
Predicting the sales of various items for different stores
Machine Learning model for Credit Card Fraud Detection
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.
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
Manipulating the Tree Structure.
Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
Procedural generation of tree models in blender
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