I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

Machine Learning - End to End Data Science Projects

This project is for the Identification of Iris flower species is presented

📃🎉 Additional datasets for tensorflow.keras

This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

Iris Recognition System Implemented in Python.

A step-wise tutorial to demonstrate the steps required to deploy a ML model using AWS Lambda, Github Actions, API Gateway and use Streamlit to access the model API through a UI.

In this repository, I classify the Iris dataset using Qutrits and IBM Quantum pulse technology.

Predict Iris with mongodb 🌷

This repository contains five mini projects covering several main topics in Data Mining, such as data preprocessing, clustering and classification.

I will be implementing the famous ai/ml, iris-flower classification project

A simple demo of LVQ4J usage on the Iris Data Set

Iris Predictor with Deep Learning | Web App

We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.

The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.