An open API service providing repository metadata for many open source software ecosystems.

Topic: "sklearn-tree"

vaitybharati/P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-

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

Language: Jupyter Notebook - Size: 141 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

aufahuhs/Advanced-Machine-Learning-Personal-Project

This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

Size: 1.95 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

IvoDSBarros/multilabel_classification

Multilabel classification task rock news articles based on Python

Language: Python - Size: 489 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

abhipatel35/ML-Regression-Lifecycle

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.

Language: Python - Size: 27.3 KB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0