Topic: sklearn-tree Goto Github
Some thing interesting about sklearn-tree
Some thing interesting about sklearn-tree
sklearn-tree,Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.
User: abhipatel35
sklearn-tree,Multilabel classification task rock news articles based on Python
User: ivodsbarros
sklearn-tree,Supervised-ML-Decision-Tree-C5.0-Entropy-Iris-Flower-Using Entropy Criteria - Classification Model. Import Libraries and data set, EDA, Apply Label Encoding, Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria. Validation and Testing Decision Tree Classifier (C5.0) Model
User: vaitybharati
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