This project is for the Identification of Iris flower species is presented
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Updated
Sep 17, 2020 - Jupyter Notebook
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
Data Science Intern @letsgrowmore Foundation LGMVIP October-21
In this repository, I have done simple python projects for understanding the python environment.
🌼 Classify the different species of the Iris flower.
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.
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.
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
In this notebook we'll see how to use KNN to classify the IRIS Flowers.
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.
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