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

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

AI Nexus 🌟 is a streamlined suite of AI-powered apps built with Streamlit. It features 👗 StyleScan for fashion classification, 🩺 GlycoTrack for diabetes prediction, 🔢 DigitSense for digit recognition, 🌸 IrisWise for iris species identification, 🎯 ObjexVision for object recognition, and 🎓 GradeCast for GPA prediction with detailed insights.

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

Data Science Intern @letsgrowmore Foundation LGMVIP October-21

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

This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.

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

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.

🌼 Classify the different species of the Iris flower.

A ML project on the classification of the Iris dataset, demonstrating data preprocessing, model training, and evaluation using Python and scikit-learn.

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

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

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