GitHub / sayande01 / Iris_EDA_Classification
This project applies a Random Forest classifier to the Iris dataset to predict flower species based on four features: Sepal Length, Sepal Width, Petal Length, and Petal Width. It includes data exploration, visualization, model building, evaluation, and hyperparameter tuning for optimal performance.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayande01%2FIris_EDA_Classification
PURL: pkg:github/sayande01/Iris_EDA_Classification
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 505 KB
Dependencies parsed at: Pending
Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 5 months ago
Topics: exploratory-data-analysis, multiclass-classification, random-forest