ryanmadden / decision-treeLinks
C4.5 Decision Tree python implementation with validation, pruning, and attribute multi-splitting
☆84Updated 7 years ago
Alternatives and similar repositories for decision-tree
Users that are interested in decision-tree are comparing it to the libraries listed below
Sorting:
- Implementation of C4.5 algorithm in python.☆59Updated 5 years ago
- Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation☆128Updated 8 years ago
- Stacked Generalization (Ensemble Learning)☆224Updated 7 years ago
- Python implementation of CART regression tree and random forests☆47Updated 10 years ago
- greedy feature selection based on ROC AUC☆125Updated 11 years ago
- A python implementation of the CART algorithm for decision trees☆47Updated 6 years ago
- A python implementation of C4.5 algorithm by R. Quinlan☆112Updated 3 years ago
- A KNN regressor that gives predictions based on customized loss function.☆43Updated 7 years ago
- Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)☆60Updated 6 years ago
- Unwrapping decision trees and random forests to make them less of a black box☆62Updated 7 years ago
- Python implementation of a random forest for use with continuous value attributes☆59Updated 7 years ago
- Examples of how to do feature engineering and Xgboost parameter tuning☆47Updated 8 years ago
- Scikit-learn style implementation of TrAdaBoost algorithm☆36Updated 7 years ago
- Kaggle code for Acquire Valued Shoppers Challenge☆23Updated 10 years ago
- Simple Python Adaboost Implementation☆25Updated 4 years ago
- Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques☆110Updated 8 years ago
- ChiMerge: Discretization of Numeric Attributes☆41Updated 9 years ago
- simple multi-class GBDT☆15Updated 11 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 6 years ago
- a python implementation of latent dirichlet allocation(lda) using gibbs sampling algorithm☆31Updated 8 years ago
- This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"☆62Updated 11 years ago
- Features selector based on the self selected-algorithm, loss function and validation method☆680Updated 6 years ago
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Updated 12 years ago
- Goal of this project is to build Classification Decision Trees and Regression Decision trees without using any Machine learning libraries☆10Updated 6 years ago
- An adaboost implementation with decision trees in pure python.☆16Updated 8 years ago
- kaggle:Two Sigma Connect: Rental Listing Inquiries--top1☆128Updated 4 years ago
- Template for Stacking (Stacked Generalization) Ensemble Method☆37Updated 9 years ago
- High performance implementation of Extreme Learning Machines (fast randomized neural networks).☆196Updated 4 months ago
- Tutorial how to use xgboost☆186Updated 9 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago