iris-classification
There are 292 repositories under iris-classification topic.
milaan9/Python_Decision_Tree_and_Random_Forest
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.
ASHOKKUMAR-K/Machine-Learning-Projects
Machine Learning - End to End Data Science Projects
amberkakkar01/IRIS-Flower-classification
This project is for the Identification of Iris flower species is presented
machinecurve/extra_keras_datasets
📃🎉 Additional datasets for tensorflow.keras
Ruban2205/Iris_Classification
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.
ntachukwu/python-iris-recognition
Iris Recognition System Implemented in Python.
alejomonbar/Classification-Iris_using-Qutrits
In this repository, I classify the Iris dataset using Qutrits and IBM Quantum pulse technology.
shreyansh26/Iris_classification-AWS-Lambda-PoC
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.
abhiverse01/Iris-Classifier-KNN
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.
AureliusIvan/iris-prediction-system
Predict Iris with mongodb 🌷
greeenboi/Iris-Classifier-project
I will be implementing the famous ai/ml, iris-flower classification project
at0m-b0mb/KubeFlow-Pipeline-IRIS-Classifier-Demo
The "KubeFlow-Pipeline-IRIS-Classifier-Demo" project is a comprehensive demonstration of building and deploying a Kubeflow Pipeline for training and deploying an IRIS classifier model. This project showcases the power of Kubeflow for creating reproducible, scalable, and efficient machine learning pipelines.
MeGysssTaa/lvq4j-example-iris
A simple demo of LVQ4J usage on the Iris Data Set
zahrasalarian/Data-Mining-Playground
This repository contains five mini projects covering several main topics in Data Mining, such as data preprocessing, clustering and classification.
ADVAIT135/OIBSIP
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
dhrumilrana25/Machine-Learning-Projects
Welcome to my GitHub repository! Here, you will find an exciting collection of my machine learning and AI projects. As a passionate data scientist and AI enthusiast, I am constantly exploring and experimenting with cutting-edge techniques to solve real-world problems.
Furkan-Gulsen/iris_predictor_web_app
Iris Predictor with Deep Learning | Web App
golecalicja/perceptron-classification
Perceptron algorithm for classification implemented from scratch
san-coding/Iris-EDA-Web
Web application for exploring Iris dataset , built using streamlit and deployed on heroku
siddharthjain1611/Iris_dataset
Data Visualization and Machine Learning with Iris Dataset.
usmanbvp/IRIS-Flower-Classification
The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.
Vatshayan/B.tech-Final-year-project-Machine-learning-on-Flower-Species
Implementation & Learning of Iris Data-set and use of various Machine learning Algorithm
vishnu322010326030/Machine-learning-algorithms
We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.
AlexandreBrown/DeepLearningIris
PyTorch deep learning model for classifying flowers in the Iris dataset.
Amenferjani/iris
This project is for the Identification of Iris flower species is presented
Arbarbn/fastapi-streamlit-tutorial
Iris Classification served with FastAPI and Streamlit in Docker
jianxi-Erin/Iris-Dataset-Classification-Using-SVM
本项目基于经典的 Iris 数据集，利用支持向量机（SVM）算法构建分类模型，旨在对鸢尾花的三种不同类别进行分类。通过本项目，展示了机器学习模型从数据预处理、特征分析、模型训练到模型评估的完整流程，并为未来的模型优化和预测提供了基础。
kshitizrohilla/iris-flower-classification-using-k-nearest-neighbor-algorithm
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.
shreyansh26/Iris_classification-GCP-AI-Platform-PoC
A step-wise tutorial to demonstrate the steps required to deploy a ML model using Google Cloud Platform's AI Platform and use Streamlit to access the model API through a UI.
yasirutishan/irisclassification
This document contains all the necessary information pertaining to the assessment of PUSL3123 AI and Machine Learning.