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.

• UpdatedDec 9, 2022
• Jupyter Notebook

Machine Learning - End to End Data Science Projects

• UpdatedMay 1, 2023
• Jupyter Notebook

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

• UpdatedSep 17, 2020
• Jupyter Notebook

• UpdatedMay 27, 2020
• Python

📃🎉 Additional datasets for tensorflow.keras

• UpdatedJun 25, 2024
• Python

• UpdatedMay 27, 2020
• Jupyter Notebook

Iris Recognition System Implemented in Python.

• UpdatedNov 9, 2021
• Python

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.

• UpdatedOct 4, 2023
• Jupyter Notebook

• UpdatedMay 28, 2020
• Python

• UpdatedMay 27, 2020
• Python

An "End-to-End Machine Learning" project focuses on building a machine learning pipeline that prevents data leakage and deploys the model with microservice-architecture for real-world use.

• UpdatedAug 5, 2025
• 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.

• UpdatedDec 12, 2021
• Python

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

• UpdatedSep 10, 2024
• Jupyter Notebook

• UpdatedApr 26, 2024
• Jupyter Notebook

This is a simple Flask-based machine learning web application that predicts the species of an Iris flower based on user inputs. The model is trained using Logistic Regression and deployed on Glitch.com.

• UpdatedJul 11, 2025
• HTML

The Iris flower classification project uses the Iris dataset to demonstrate a simple machine-learning workflow. It covers data loading, exploration, preprocessing, model building, evaluation, and data visualization.

• UpdatedJul 21, 2024
• Jupyter Notebook

Predict Iris with mongodb 🌷

• UpdatedOct 1, 2025
• Jupyter Notebook

A simple static web app (HTML + CSS + JavaScript) hosted on GitHub Pages that predicts the species of an Iris flower using a Flask backend API deployed on Hugging Face Spaces.

• UpdatedSep 2, 2025
• HTML

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

• UpdatedFeb 2, 2023
• Jupyter Notebook

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

• UpdatedAug 21, 2022
• Jupyter Notebook