| ndphillips/FFTrees |
129 |
|
3 |
1 |
over 2 years ago |
22 |
June 05, 2023 |
8 |
|
R |
| An R package to create and visualise fast-and-frugal decision trees (FFTs) |
| CynthiaKoopman/Network-Intrusion-Detection |
85 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Machine Learning with the NSL-KDD dataset for Network Intrusion Detection |
| TomaszRewak/Face-Landmarking |
72 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
C++ |
| Real time face landmarking using decision trees and NN autoencoders |
| moebg/click-through-rate-prediction |
60 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| 📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms |
| closest-git/QuantumForest |
53 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
|
Python |
| Fast Differentiable Forest lib with the advantages of both decision trees and neural networks |
| npapernot/phishing-detection |
44 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
mit |
Python |
| Train a simple decision tree classifier to detect websites used for phishing |
| PENGZhaoqing/kdd99-scikit |
41 |
|
0 |
0 |
about 9 years ago |
0 |
|
3 |
|
Python |
| Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn |
| zainab-ali/titanic |
17 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
apache-2.0 |
Scala |
| Predicting survival on the Titanic |
| Michedev/DecisionTreeNim |
15 |
|
0 |
0 |
about 5 years ago |
0 |
November 27, 2023 |
0 |
|
Nim |
| Decision tree and Random forest implementation in nim |
| hmgomes/AdaptiveRandomForest |
14 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Java |
| Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04 |
