Topic: "post-pruning"
anshul1004/DecisionTree
Decision Tree classifier from scratch without any machine learning libraries
Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 6
MoinDalvs/Assignment_Decision_Tree_1
Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0
Pradnya1208/Pruning-Decision-Trees
The objective of this project is to understand and implement the most commonly used Tree-pruning methods, Pre-pruning and Post-pruning.
Language: Jupyter Notebook - Size: 988 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
Vedant2311/Machine-Learning-Algorithms
Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)
Language: Python - Size: 62 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
Manisha-Karim/Covid-19-Mortality-Prediction
Used ANOVA to choose the best features and Decision Tree with Post-Pruning to Predict Mortality of Covid-19 Patients
Language: Jupyter Notebook - Size: 817 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
