GitHub topics: iris-dataset

Repositories

Aly-El-Badry/HCIA-Projects

Machine Learning Algorirthm For Starters in Machine Learning

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anamolkhadka/linear-logistic-regression-iris

Iris Dataset: Linear and Logistic Regression from Scratch

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FabianaCampanari/Iris-DataAnalysis-Seaborn-

🌸 The provided code snippet is a Python script that uses matplotlib to plot the numerical and exact derivatives of a function f4 over a range of values. The script generates a sequence of values x from -5 to 5, calculates the derivatives using two different methods, and then plots the results for comparison.

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adexoxo13/Naive-Bayes

Naive Bayes Classifier | 10-Fold Cross-Validation | ROC Curve Analysis | Machine Learning | Python

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Md-Emon-Hasan/InformaTruth

📰 Detects fake news using a fine-tuned roberta-base classifier on the LIAR dataset. The system accepts multiple input types text, URLs, and PDFs and outputs a prediction (Real or Fake) along with a confidence score. It also uses google/flan-t5-base to generate human-like explanations of the verdict.

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Tolinez/fastapi-iris-predictor

Simple API built with FastAPI for real-time predictions on the iris flower dataset using a Logistic Regression model.

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chhayac/Machine-Learning-Notebooks

15+ Machine/Deep Learning Projects in Ipython Notebooks

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luuisotorres/fastapi-iris-predictor

Simple API built with FastAPI for real-time predictions on the iris flower dataset using a Logistic Regression model.

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nurulashraf/svm-iris-flower-classification

SVM classifier for Iris flower dataset. Trains, evaluates, and saves a model to classify Setosa, Versicolor, and Virginica species based on petal and sepal measurements. Built with Python, scikit-learn, and Jupyter Notebook.

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rc-tests/ML

My First Machine Learning Model

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Pavan5698/Decision_Treee

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Samuelson777/Iris-Flower-Classification

Iris Flower Classification: A machine learning project that classifies iris flowers into three species based on sepal and petal dimensions. Includes data exploration, visualization, and model evaluation using Python and scikit-learn.

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adexoxo13/Neural_Network

Supervised Machine Learning | Neural Network | Jupyter Notebook | Python | Scikit library

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Moez-lab/Iris-Species-Detector

This project uses the Iris dataset to predict flower species based on sepal and petal dimensions. It includes data preprocessing, feature engineering, visualization, and training a Random Forest model with hyperparameter tuning using GridSearchCV. Achieves high accuracy

Language: Python - Size: 6.84 KB - Last synced at: 1 day ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

MahdiKh03/kNN-Algorithm-on-IrisDataset

A machine learning project to implement the K-Nearest Neighbors (KNN) algorithm from scratch using Python for classification on the Iris dataset.

Language: Python - Size: 9.77 KB - Last synced at: 2 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

digital-nomad-cheng/Iris_Landmarks_PyTorch

Iris landmarks localization.

Language: Python - Size: 54.6 MB - Last synced at: about 20 hours ago - Pushed at: over 1 year ago - Stars: 69 - Forks: 25

AbdulRahmanAlsakkaDitAkkad/kaggle-iris-dataset-analysis

Jupyter Notebook project for visualizing, analyzing, and modeling the Iris dataset from Kaggle using Python and scikit-learn.

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tSopermon/ML-Algorithms-custom-implementations-aivc-project

This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary classification tasks using linearly, non-linearly, and marginally separable datasets from the Iris dataset. It includes MATLAB implementations, 10-fold cross-validation, and visualizations of decision boundaries and MSE histories.

Language: MATLAB - Size: 1.35 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Busradeveci/kaggle-Iris_Data_Analysis

Exploratory data analysis and visualization of the Iris dataset using Python.

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dataprofessor/simple-prediction

Language: Python - Size: 35.2 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 8

madhurimarawat/Machine-Learning-Using-Python

This repository contains machine learning programs in the Python programming language.

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mohammadreza-mohammadi94/Project-Packaging-Python-ML

This repository demonstrates how to package a simple Machine Learning project using Python’s standard packaging structure. It includes training a basic ML model and preparing it as an installable Python package that can be easily reused in other projects.

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sdmlua/RiverJoin

Framework for Spatially Joining OWP HAND-FIM Hydrofabric Flowlines with SWORD Flowlines.

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pablo-ferro/ML_iris_flower

ML scikit learn package Iris 3 species

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jedrazb/python-neural-network

Simple implementation of MLP neural network in NumPy with supporting examples

Language: Python - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

Dylan-Stewart/Marvel-MySQL-Project

Project for Data Science

Language: Python - Size: 2.26 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

cserajdeep/LIQUID-NEURAL-NETWORK-LNN

LIQUID NEURAL NETWORK LNN CLASSIFIER AND REGRESSION

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HxnDev/K-Means-on-IRIS-Dataset

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.

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mohiteamit/simple_pipeline_using_iris

Iris Classification Pipeline, Streamlit App & FastAPI

Language: Python - Size: 32.2 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Mai11122006/Iris-ml-classifier

PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.

Language: Python - Size: 24.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

RubixML/Iris

The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.

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AtRealMasterLuke/Decision-Tree-Algorithm-with-Iris-Dataset

Study the Iris Dataset using Decision Trees

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henriqueotogami/Curso-de-Python3-Udemy

Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.

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fadlani-aditya/iris-plant-classification

This project focuses on classifying different species of Iris flowers using the Random Forest algorithm. The dataset, sourced from Scikit-learn, contains four key features: sepal length, sepal width, petal length, and petal width, which are used to predict the flower species (Setosa, Versicolor, and Virginica).

Language: Python - Size: 1.12 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

efiyatunhasanah/ML-IrisDataset

Klasifikasi Iris Dataset menggunakan Iris Dataset

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RohanSardar/iris_flower

A basic ML project on the iris flower classification

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Adesartika33/Proyek-Analisis-Data-Dataset-Iris

Proyek ini bertujuan untuk menganalisis dataset Iris, salah satu dataset klasik dalam bidang Machine Learning dan Data Science. Dataset ini terdiri dari 150 sampel bunga Iris dari tiga spesies (Setosa, Versicolor, dan Virginica)

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dillikadariya/ML-Logistics-Regression-to-Classify-Iris-Species

Machine Learning project that implements classification algorithm as a logistic regression model

Language: Python - Size: 175 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

itzdineshx/Iris-flower-classification

A web application for predicting Iris flower species using machine learning models with Gradio UI. Users can input measurements and receive predictions along with a representative image.

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aAa1928/Iris-ml-classifier

PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.

Language: Python - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

azuregray/BharatIntern-InternshipTasks 📦

Successful work completed as Intern at Bharat Intern in Oct - Nov 2023

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MaskedSyntax/iris-flower-prediction-app

A simple web app for Iris Flower Prediction

Language: Python - Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

pradipNP/DecisionTree-Iris

Machine learning project to classify iris flowers using a decision tree

Language: Python - Size: 39.1 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

HalmstadUniversityBiometrics/Iris-Segmentation-Groundtruth-Database

Iris Segmentation Groundtruth Database

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Ali-EL-Badry/HCIA-Projects

Here will be projects of Machine Learning that is done by me in HCIA-AI course

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SenapeDev/MLP-IRIS-classification

Implementazione di un percettrone multistrato per classificare differenti specie di iris.

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machinecurve/extra_keras_datasets

📃🎉 Additional datasets for tensorflow.keras

Language: Python - Size: 2.42 MB - Last synced at: 28 days ago - Pushed at: 11 months ago - Stars: 32 - Forks: 4

Ki3mONo/Naive_Bayes_Classifier

This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.

Language: Python - Size: 1.54 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

benami171/ML_kNN_Decision-trees

A ml implementation comparing Decision Trees and k-Nearest Neighbors (k-NN) algorithms for Iris flower classification. Features comprehensive analysis of different approaches including brute-force and entropy-based decision trees, along with k-NN using multiple distance metrics.

Language: Python - Size: 1.41 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ascender1729/iris-flower-classification-2024

An exploratory data analysis and machine learning project using the Iris dataset to classify flower species with a K-Nearest Neighbors classifier. It includes data visualization, feature scaling, model training, and evaluation with 100% accuracy on the test set.

Language: Jupyter Notebook - Size: 782 KB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

itsAdiz/iris_classification

Iris Classification Using Machine Learning - FYP

Language: Python - Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SenapeDev/iris-binary-classification

Single layer perceptron for binary classification of two iris species.

Language: Python - Size: 316 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shettysach/ferrograd

Small scalar autograd engine, inspired from Karpathy's micrograd, with some additional features, such as more activation functions, optimizers and loss criterions. Capable of MNIST classification.

Language: Rust - Size: 6.05 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1

benami171/ML_EX_02

2nd Assignment in machine learning course, Implementing and using Perceptron and Adaboost algorithms.

Language: Python - Size: 188 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

JBris/jackson-data-models-example

Demonstration of Jackson data models

Language: Java - Size: 15.6 KB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

Furkan-Gulsen/iris_predictor_web_app

Iris Predictor with Deep Learning | Web App

Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 4

jitendrakumar13/FlowerAI-Classifier

Simple model is used to for the prediction but the data entered by the user is saved on SQL database

Language: Python - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dgurkaynak/kmeans-iris

A web-app that runs and visualizes k-means algorithm on iris dataset

Language: JavaScript - Size: 3.06 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2

cserajdeep/1DCNN-IRIS-PyTorch

1 Dimensional Convolutional Neural Network for Iris dataset classification

Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 27 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 0

ntsation/iris-analysis-ml

This project performs an in-depth analysis of the Iris Dataset, a well-known dataset in machine learning. The project applies machine learning models, such as Random Forest and Support Vector Machine (SVM), evaluating model performance using metrics like accuracy, precision, recall, F1-score, and confusion matrix.

Language: Jupyter Notebook - Size: 681 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Eny2930/AI-ML-Projects

A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.

Language: Python - Size: 121 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

victorqribeiro/perceptronCobol

A perceptron written in COBOL

Language: COBOL - Size: 18.6 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 75 - Forks: 5

drisskhattabi6/Exploratory-Data-Analysis-Projects

This Repo contains My Exploratory Data Analysis Projects for many datasets

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salihfurkaan/iris-flower-analysis

An analysis on Iris dataset of Scikit learn

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santiagoasp98/iris-classification

Iris dataset classification using Logistic Regression, SVM, and Random Forest.

Language: Jupyter Notebook - Size: 207 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

imdeep2905/Neural-Network-CPP

To understand neural networks thoroughly I implemented them from scratch in C++. This is the source code for the same.

Language: C++ - Size: 781 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

madhurimarawat/Agile-Sprint-and-Iris-Data-Explorer

Streamlit app that combines agile sprint planning with data visualization of the Iris dataset. It helps analyze task distribution and explore key data insights interactively.

Language: Python - Size: 1.87 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

abhipatel35/Automated-Machine-Learning-Pipeline-for-Iris-Dataset-Classification

Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.

Language: Python - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Brazer27/Iris-Classification

A Python implementation of Naive Bayes algorithm for Iris flower classification. Features include cross-validation, data preprocessing, and prediction capabilities. Built from scratch without ML libraries, achieving ~95% accuracy on the classic Iris dataset.

Language: Python - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

GiatrasKon/Machine_Learning_Assignments

Machine learning assignments covering regression, classification, neural networks, adversarial examples, and real-time emotion detection using Python. Includes theoretical insights and practical implementations.

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

farafiroza/proyek-dibimbing-1-

Dataset ini berisi informasi tentang panjang dan lebar sepal (daun kelopak) serta petal (kelopak bunga) yang digunakan untuk membedakan jenis bunga.

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AbdelmajidLh/datasets

Ce dépôt contient des datasets open source pour lancer des projets data et machine learning.

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HxnDev/Calculating-Entropy-of-IRIS-Dataset

This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.

Language: Jupyter Notebook - Size: 137 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

kozuedoingregression/Iris-Species-Classification

Machine Learning Model for Iris Species Classification based on Measurements

Language: Python - Size: 192 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Emna-chebbi/Iris-dataset

The iris dataset contains 4 features which i used to classify the flowers into one of the three species based on the measurements.

Language: Jupyter Notebook - Size: 208 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

geekquad/Random-Forest-from-Scratch

A basic implementation of the Random Forest Classifier from Scratch and using Seaborn to find important features.

Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

BGMP/SVM

Support Vector Machine implementation written in Python

Language: TeX - Size: 221 KB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

zahediparsa/ML_BirkarAcademy

Developed exercises and practical tasks to help students grasp key machine learning topics in a course hosted by Birkar Academy and ICDS.ai

Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Hunterdii/Iriswise

IrisWise is a machine learning application for predicting Iris flower species. Built with Streamlit, this app provides a user-friendly interface to input flower measurements and receive predictions using various models, including K-Nearest Neighbors, (Random Forest, SVM, and Logistic Regression) **(Working On It...)**.

Language: Jupyter Notebook - Size: 921 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 5 - Forks: 3