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

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.

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.

This project applies machine learning to classify iris flowers into three species based on features like petal and sepal length/width. It uses supervised learning algorithm (Logistic Regression) to build a simple yet powerful multiclass classification model trained on the classic Iris dataset.

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.

🤖 Create a smarter digital experience with Nexus AI, your personal assistant designed for speed, power, and a human-like touch.

Data Science Intern @letsgrowmore Foundation LGMVIP October-21

Want to predict the specie of an IRIS flower? This project is developed for classifying the IRIS flower belonging to which Specie. Its UI is clean, simple & just related to input & its predicted result.

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.

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

🌼 Classify the different species of the Iris flower.

Iris flower classification

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

I am currently pursuing an internship where I am honing my skills in data science and machine learning. My passion lies in uncovering insights from data and building predictive models that can drive meaningful impact.

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