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

Simple Classification program to predict the species of an iris flower.

Iris flower classification with MLP using MATLAB.

An application for beginners of Machine Learning for understanding Machine Learning basic concepts.

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

This Repository Consists of all the tasks that were assigned to me during internship at Oasis Infobyte as a Data Science Intern from October 15th 2023 to November 15th 2023

This repository contains the tasks for data science internship at codsoft

In this repository, I have done simple python projects for understanding the python environment.

Data Science Intern @letsgrowmore Foundation LGMVIP October-21

🌼 Classify the different species of the Iris flower.

This is basic Machine Learning project of Iris Flower Classification

The "Iris-Flower-Classifier" is a machine learning project that categorizes Iris flowers into three species based on their measurements. It involves data preprocessing, model training, and evaluation, showcasing a fundamental classification task.

Implementing all ML models and feature selection techniques that can be used.

Learning with sklearn diabetes and iris flower dataset, single and multiple linear regression, classification with multi-layer perceptron, kneighbors and support vector machines.

Projects on Data Science Internship

A machine-learning project that classifies Iris Flowers based on certain characteristics (Training + Deployment)

Sparks foundation Data analytics task#6 Prediction using decision tree algorithm on the Iris dataset

This repo contains machine learning projects for beginners.

In this notebook we'll see how to use KNN to classify the IRIS Flowers.

IRIS Dataset Classification