iris-dataset

victorqribeiro/perceptronCobol

A perceptron written in COBOL

amberkakkar01/IRIS-Flower-classification

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

digital-nomad-cheng/Iris_Landmarks_PyTorch

Iris landmarks localization.

odubno/gauss-naive-bayes

Gauss Naive Bayes in Python From Scratch.

navjindervirdee/neural-networks

Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.

rianrajagede/iris-python

Collection of iris classifcation program for teaching purpose

RubixML/Iris

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

machinecurve/extra_keras_datasets

📃🎉 Additional datasets for tensorflow.keras

alankrantas/sefr_multiclass_classifier

Implementations of multiclass version of SEFR linear-time fast classifier (TinyML)

bhattbhavesh91/pca-from-scratch-iris-dataset

Implementing PCA from Scratch for iris dataset

IsmoilovMuhriddin/IRIS-data-model-service

Service for machine learning model prediction in Flask, celery

bhattbhavesh91/k_means_iris_dataset

KMeans Clustering for IRIS Dataset Classification

ApoorvRusia/Naive-Bayes-classification-on-Iris-dataset

Using Naive Bayes classification approach to identify the different species of Iris flowers.

m-clark/noiris

Any data but iris 👁

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

Xachap/Neuro-FLOPER

A program that allows you to translate neural networks created with Keras to fuzzy logic programs, in order to tune these networks from a given dataset.

cserajdeep/1DCNN-IRIS-PyTorch

1 Dimensional Convolutional Neural Network for Iris dataset classification

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.

SahibzadaSalman/Machine-Learning-with-Python

This repository contains a gentle introduction to machine learning algorithms with hands on practical examples

viniciusarruda/ga-pso-fuzzy-classifier

Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.

anshul1004/DecisionTree

Decision Tree classifier from scratch without any machine learning libraries

josetorronteras/MLP-Keras-Iris-Dataset

Perceptron Multicapa (MLP) clasificación - Multilayer Perceptron (MLP) for multi-class classification for iris dataset

dataprofessor/simple-prediction

HalmstadUniversityBiometrics/Iris-Segmentation-Groundtruth-Database

Iris Segmentation Groundtruth Database

jalalmansoori19/Classfiying-Iris-flower-species

This project is about getting familiar with machine learning classification problem !

namanUIUC/NonlinearComponentAnalysis

Application of principal component analysis capturing non-linearity in the data using kernel approach

prakharchoudhary/MLworld

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

akanshajainn/Machine-Learning---Google-Developers

Decision trees, linear model, iris dataset and MNIST classification using tensorflow, All learned from Google developers.

DSCKGEC/Hello-ML

Intro to machine learning using Iris dataset.

hkiang01/Applied-Machine-Learning

Applied Machine Learning

srilakshmi-thota/IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK

Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.

shettysach/ferrograd

A small scalar autograd engine / Rust crate, inspired from Karpathy's micrograd, with more features, such as more activation functions, optimizers and loss criterions. Capable of MNIST classification.

sobhanshukueian/Iris-Identification

This project is an implementation of iris dataset identification using edge detection, Hough transform, and Daugman normalization. We also employ a Siamese network with contrastive loss for identification.

sondosaabed/Iris-Presentation-Attack-Detection-PAD

Using deep learning to detect presentation attack on the Iris images