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.

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

different approaches for predicting iris species.

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

Simple Web App for Iris Flower Classifier using Machine Learning : Advanced Python