ID3 Decision Tree based on iris.data
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Updated
Oct 31, 2017 - Python
ID3 Decision Tree based on iris.data
DevDay León 2019 – Taller de APIs con Python.
This Repository contains the Iris Dataset Project created by using 4 different ML Algorithms.
Principle Component Analysis on IRIS data set
Classification models on the famous Iris Dataset along with Exploratory Data Analysis
This is my Virtual Internship from LGM Virtual Internship 2021. Thanking for this opportunity where I have completed task as many as from the given part.
Here, I will put Machine learning tasks which are done using Automated Machine Learning.
A simple iris plant classifier built with React and Flask.
A simple web application for IRIS ML classification model
A machine learning project for classifying iris flowers into three species using sepal and petal characteristics. The repository includes EDA, advanced data visualization, and model evaluation, achieving 100% accuracy. Explore data, models, and visualizations in the notebook, images, and data folders.
Implementation of a multi-layered neural network that classifies iris flowers based on sepal length, sepal width, petal length, and petal width. The ANN is trained using the Iris dataset and the program prompts user input.
Classifies irises into one of 3 species: Setosa, Versicolor, Virginica.
Decision tree classifier on different dataset.
☘This repository contains a Python script for classifying the Iris dataset using the Random Forest algorithm.
different approaches for predicting iris species.
Classification of IRIS Dataset using various distance metrics.
We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.
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