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Projects in Awesome Lists tagged with iris-dataset

A curated list of projects in awesome lists tagged with iris-dataset .

https://github.com/rubixml/iris

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

classification cross-validation data-science example-project introduction-to-machine-learning iris-dataset k-nearest-neighbors knn machine-learning machine-learning-tutorial nearest-neighbors php php-machine-learning php-ml rubix-ml tutorial

Last synced: 26 Jun 2025

https://github.com/bhattbhavesh91/pca-from-scratch-iris-dataset

Implementing PCA from Scratch for iris dataset

iris-dataset pca principal-component-analysis

Last synced: 13 Jul 2025

https://github.com/leonjessen/keras_tensorflow_on_iris

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

classification datascience deep-learning ggplot iris-dataset keras machine-learning neural-network r rstudio tensorflow tensorflow-tutorials tutorial

Last synced: 13 Jun 2025

https://github.com/cserajdeep/1dcnn-iris-pytorch

1 Dimensional Convolutional Neural Network for Iris dataset classification

1d-cnn classification cnn-classification deep-neural-networks iris-dataset python pytorch

Last synced: 14 Apr 2025

https://github.com/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.

iris-classification iris-dataset k-nearest-neighbor-classifier logistic-regression logistic-regression-algorithm machine-learning navie-bayes-algorithm support-vector-classifier

Last synced: 05 Aug 2025

https://github.com/prakharchoudhary/mlworld

A collection of simple machine learning projects, that got me started in this wonderful domain!

classification clustering iris-dataset keras-neural-networks knn machine-learning neural-networks numpy pandas python scikit-learn

Last synced: 09 Apr 2025

https://github.com/lovnishverma/helloworldirismachinelearning

This is a simple Flask-based machine learning web application that predicts the species of an Iris flower based on user inputs. The model is trained using Logistic Regression and deployed on Glitch.com.

iris-classification iris-dataset machinelearning-python

Last synced: 28 Oct 2025

https://github.com/imdeep2905/neural-network-cpp

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

backpropagation c-plus-plus deep-learning from-scratch gradient-descent iris-dataset multilayer-perceptron neural-network neural-networks neural-networks-from-scratch

Last synced: 15 May 2025

https://github.com/gaborvecsei/machine-learning-inference-with-github-actions

This repository demonstrated how you can use Github Actions to perform inference with your ML model

github-actions github-actions-docker inference iris-dataset machine-learning machine-learning-workflow sklearn

Last synced: 26 Oct 2025

https://github.com/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.

iris-dataset jupyter-notebook machine-learning matplotlib numpy pandas pyplot python-lambda python3 scikit-learn seaborn seaborn-plots

Last synced: 12 Sep 2025

https://github.com/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...)**.

classifier-model data-science flowers-recognition iris-dataset iris-recognition knn-classification machine-learning pickle python python3 streamlit streamlit-webapp

Last synced: 21 Feb 2026

https://github.com/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.

classification data-analysis iris-dataset k-nearest-neighbors machine-learning matplotlib pandas python scikit-learn seaborn

Last synced: 20 Jul 2025

https://github.com/senavs/knn-from-scratch

:heavy_check_mark: A Python implementation of KNN machine learning algorithm.

iris-dataset knn knn-classification machine-learning machine-learning-algorithms object-oriented-programming python3 scracth

Last synced: 16 Jan 2026

https://github.com/zackakil/iris-dataset-3d-marbles

What if every row/flower from the Iris dataset was represented as a marble in a physics simulation? Using Scikit-Learn with Blender to render the iris dataset in 3d and create a physical simulation of a marble machine to classify the dataset.

3d blender data-visualization flower iris-dataset machine-learning physics-simulation scikit-learn

Last synced: 02 May 2026

https://github.com/shaik-sohail-72/iris-flower-type-prediction-and-classification-with-ml-and-mern

Iris flower type prediction and classification with machine learning and MERN web I/O system. This project predict the type of iris flower by using machine learning . K-NN algorithm is used for multiclass classification.

css ejs expressjs google-oauth2 heroku-deployment html iris-dataset javascript knn-algorithm knn-classification knn-classifier machine-learning nodejs pandas python sklearn-library

Last synced: 15 Feb 2026

https://github.com/greed2411/knn

Using k-Nearest Neighbors algorithm, training it using 2/3rd of the iris.data and using the rest of the 1/3rd for the test case, and yield prediction for those 1/3rd with an accuracy usually greater than 90% , and this algorithm is implemented without using Python scikit-learn.

graphs iris-dataset iris-flowers knn knn-classification pandas-dataframes

Last synced: 07 May 2025

https://github.com/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.

code iris iris-dataset jupyter-notebook kmeans kmeans-algorithm kmeans-clustering kmeans-clustering-algorithm python

Last synced: 27 Apr 2026

https://github.com/jedrazb/python-neural-network

Simple implementation of MLP neural network in NumPy with supporting examples

iris iris-dataset machine-learning mlp mlp-classifier mlp-network neural-network neural-networks python

Last synced: 01 Feb 2026

https://github.com/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.

calculate-entropy code dataset entropy iris iris-dataset jupyter-notebook python

Last synced: 29 Apr 2026

https://github.com/victormotogna/irislogisticregression

Iris Dataset Logistic Regression - scikit learn version & from scratch

data-science iris-dataset logistic-regression python scikit-learn

Last synced: 30 Apr 2026

https://github.com/meetgandhi123/machine-learning-101

Hello friends, I am making a Machine Learning repo. where I will upload several datasets and its solution with explanation. Starting from the basic and moving up in difficulty level.

boston-housing-dataset car-price-prediction classification deep-fake education-data explanation hand-sign-recognition human-resou iris-dataset machine-learning medical-cost-personal-dataset mnist-dataset new-york-stock-exchange-dataset red-wine-quality regression titanic-kaggle

Last synced: 12 May 2025

https://github.com/maskedsyntax/iris-flower-prediction-app

A simple web app for Iris Flower Prediction

iris-dataset random-forest-classifier streamlit webapp

Last synced: 05 May 2026

https://github.com/aliabbasjaffri/iris-flyte-bentoml-pipeline

Pipeline built on flyte for training Iris dataset using Pytorch and Weights and Biases

flyte iris-dataset pytorch weights-and-biases

Last synced: 04 May 2026

https://github.com/sharmas1ddharth/iris-classification

A Machine Learning Model that can classify the species of the Iris flower whether its Iris-Setosa, Iris-Virsicolour, Iris-Virginica

data-science data-science-projects iris-classification iris-dataset machine-learning machine-learning-projects project python

Last synced: 09 Jun 2026

https://github.com/dtroupe18/basicperceptron

Basic perceptron on Iris dataset

iris-dataset machine-learning perceptron python3

Last synced: 03 Apr 2025

https://github.com/petronetto/python-iris

Collection of iris classifcation for learning purposes

iris iris-dataset python pytorch theano

Last synced: 28 Apr 2026

https://github.com/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.

iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn

Last synced: 06 May 2026

https://github.com/geekquad/random-forest-from-scratch

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

iris-dataset random-forest random-forest-classifier seaborn sklearn

Last synced: 17 May 2026

https://github.com/aaa1928/iris-ml-classifier

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

deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn

Last synced: 05 Apr 2026

https://github.com/senapedev/mlp-iris-classification

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

iris-dataset machine-learning mlp-classifier

Last synced: 18 May 2026

https://github.com/kaushiksk/visualize-k-means

Interactively visualizing the k-means algorithm on the Iris dataset

iris-dataset kmeans-clustering machine-learning matplotlib python

Last synced: 14 Apr 2025

https://github.com/youssef-saaed/knn_assignment_c_version

This is a machine learning assignment that implements the K-Nearest Neighbors (KNN) algorithm on the Iris dataset from scratch using pure C

c from-scratch iris-classification iris-dataset knn pure-c

Last synced: 22 Mar 2025

https://github.com/jcbritobr/iris

Iris dataset and data analysis with julia language.

data-analysis data-science data-visualization iris-dataset julia-language

Last synced: 06 Apr 2025

https://github.com/md-emon-hasan/iris-classifier-using-flask

🌸 Iris flower classification Machine Learning model. The project is deployed as a web application using Flask web framework and deploy on render.

ai classification deployment flask-application iris-classification iris-dataset ml-app

Last synced: 07 Aug 2025

https://github.com/marta-barea/mlp-iris-classifier

A simple project to train and evaluate a multilayer perceptron on the Iris Sepecies data using TensorFlow, SciKeras, and Scikit-Learn.

classification-algorithm deep-learning iris-classification iris-dataset multilayer-perceptron neural-networks python

Last synced: 20 Aug 2025

https://github.com/josgard94/decision-regions-with-knn-algorithm

Implementation of the knn algorithm to generate decision regions using the Iris dataset.

data-analytics data-processing data-science decision-regions iris-dataset knn-algorithm machine-learning

Last synced: 11 Sep 2025

https://github.com/md-emon-hasan/ml-project-iris-classifier-with-github-action

🌸 ML Project integrated with GitHub Actions for CI/CD. It automates testing and deployment, ensuring a streamlined and efficient workflow.

ci-cd cicd data-science github-action iris-classification iris-dataset mahcine-learning

Last synced: 01 Jul 2025

https://github.com/cursedseraphim/nam-torch

A simple implementation of the Neural Additive Model by Agarwal et al. in PyTorch.

explainable-ai interpretable-ai interpretable-machine-learning iris-dataset machine-learning xai

Last synced: 10 Oct 2025

https://github.com/cserajdeep/lstm-iris-pytorch

LSTM implementation on IRIS dataset classification using PyTorch

classification deep-neural-networks iris-dataset lstm lstm-neural-networks python pytorch

Last synced: 20 Apr 2026

https://github.com/md-emon-hasan/6-classification-iris-ml-apps

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

classification data-science iris-classification iris-dataset iris-flower-classification predictive-modeling scikit-learn

Last synced: 26 Apr 2026

https://github.com/henriqueotogami/curso-de-python3-udemy

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

iris-dataset jupyter-notebook linear-regression numpy pandas-python python3 udemy

Last synced: 08 May 2026

https://github.com/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.

classification cross-validation data-analysis decision-trees iris-dataset k-nearest-neighbours machine-learning nearest-neighbors python

Last synced: 30 Jun 2025

https://github.com/tsopermon/comparison-ml-algorithms

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.

adaline binary-classification classification-accuracy cross-validation data-visualization decision-boundaries iris-dataset logistic-regression machine-learning matlab mse neural-networks perceptron

Last synced: 15 Mar 2025

https://github.com/busradeveci/kaggle-iris_data_analysis

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

data-analysis iris-dataset kaggle pandas python seaborn visualization

Last synced: 15 Apr 2025

https://github.com/brunomontezano/exemplo-streamlit

🌸 Códigos para elaboração de um web app com modelo de classificação de espécies de lírios (iris).

aprendizado-de-maquina classification deploy grupo-de-estudos inteligencia-artificial iris-dataset machine-learning predictive-modeling pt-br streamlit web-app

Last synced: 09 May 2026

https://github.com/geovanimelo/appdistcentroide

Um exemplo que mostra o cálculo do número e a distâncias aos centroides utilizando um dataset de flores iris.

centroid centroid-tracker centroide centroides centroids distancia distancia-ao-centroide iris-classification iris-dataset

Last synced: 19 May 2026

https://github.com/yuanxiaosc/tensorflow_iris_tfrecord_and_estimator

This resource takes iris data set as an example to explain how to producte tfrecord files and use them in the customize Estimator!

estimator iris-dataset tensorflow-examples tfrecord-files

Last synced: 19 May 2026

https://github.com/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)

classification data-science data-visualization eda exploratory-data-analysis iris-dataset machine-learning python random-forest scikit-learn

Last synced: 06 May 2026

https://github.com/pradipnp/decisiontree-iris

Machine learning project to classify iris flowers using a decision tree

classification decision-tree iris-dataset machine-learning python scikit-learn

Last synced: 18 May 2026

https://github.com/santiagoasp98/iris-classification

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

classification iris-dataset logistic-regression machine-learning random-forest svm

Last synced: 07 Apr 2025

https://github.com/salmaakhalifa199/iris_classification

Classify Iris species using K-Nearest Neighbors and explore dataset visualization and evaluation metrics.

classification data-visualization iris-dataset knn machine-learning-models python-3

Last synced: 26 Apr 2026

https://github.com/grindelfp/iris-ml

A basic machine learning project, aimed to study the machine learning concepts and apply them to a real worls Iris dataset.

ipynb iris-classification iris-dataset machine-learning

Last synced: 07 Feb 2026

https://github.com/somjit101/data_science-eda

A collection of useful implementations to perform EDA on a new dataset in order to understand preliminary patterns in the dataset and gain a high-level grasp of the dataset using plots and visualizations.

boxplots contour-plots distribution eda histogram iris-dataset plots qqplot seaborn-plots statistical-analysis violin-plots

Last synced: 09 Jun 2026

https://github.com/ianramzy/iris-classifier

🔎 Exploratory data analysis and classifier of the iris dataset using various ML models.

classifier iris-dataset machine-learning python

Last synced: 18 May 2026

https://github.com/rajatdiptabiswas/iris-flower-dataset

:cherry_blossom: Trying out data visualization and data science on the iris flower dataset

data-science data-visualization iris iris-dataset

Last synced: 15 Mar 2025

https://github.com/evangks/svm-iris-classification

A comprehensive, portfolio-ready machine learning project demonstrating Support Vector Machine (SVM) classification on the Iris dataset. Includes data preprocessing, model training, hyperparameter tuning, evaluation, and visualization, with full reproducibility and live results on Kaggle.

classification data-science iris-dataset jupyter-notebook machine-learning portfolio-project python supervised-learning support-vector-machines svm

Last synced: 01 Jul 2025

https://github.com/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.

iris-dataset knn-classification machine-learning

Last synced: 09 May 2025

https://github.com/dor-sketch/irisnetrbm

A Python-implemented RBM project exploring generative learning through the classification of the Iris dataset, featuring a user-friendly GUI and advanced data handling capabilities.

iris-dataset machine-learning neural-network rbm restricted-boltzmann-machine

Last synced: 15 Mar 2025

https://github.com/mmaithani/iris-flower

not fully completed for deployment but yes its working

iris-dataset jupyter-notebook kmeans-clustering logistic-regression python3

Last synced: 17 May 2026