iris-flowers
There are 32 repositories under iris-flowers topic.
amberkakkar01/IRIS-Flower-classification
This project is for the Identification of Iris flower species is presented
DataByteNITT/NaiveBayesKS
Code and other material for Naive Bayes KS
gilissantos/Matplotlib---Python
Visualização de dados com a biblioteca Matplotlib - Python
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.
monolli/IFPaaS
IFPaaS - Iris Flower Prediction as a Service. An implementation of a machine learning microservice and its deployment to the cloud using: Python, Flask, Sklearn, Docker, CloudFormation, ECS, Fargate, Pytest, Travis CI, RESTPlus and Gunicorn.
Vatshayan/B.tech-Final-year-project-Machine-learning-on-Flower-Species
Implementation & Learning of Iris Data-set and use of various Machine learning Algorithm
mnindrazaka/tensorflow-example
Sample tensorflow implementation for predicting iris
tdsk15041995/Deep-Learning
Repository contains deep learning projects
tsotne95/SOM
SOM - Self-organizing map
Viswalahiri/iris-ml-web-app
An application made from Flask that connects a machine learning model for the Iris toy dataset to a web interface.
ashutoshpanpalia/iris_prediction
The following code uses 5 different machine learning algorithm on the Iris dataset to predict the species of the flower
ExcViral/K-Means-Clustering
Implementation of K-Means clustering algorithm in python
SujayDas1999/Iris-Flower-Classification-KNN
This is a classification of iris flower using k nearest neighbour classifier
Swarupa567/Iris-Flower-Classification-Project
Simple Classification program to predict the species of an iris flower.
tomershay100/Multiclass-Classification
Implementation of some machine learning algorithms for classification on the iris flowers data set
AestheticVoyager/Iris_Classification
Machine Learning model that will allow us to classify species of iris flowers. This application will introduce many rudimentary features and concepts of Machine Learning. Essentially the Hello World of Machine Learning.
cphillips103/iris-data
Iris data set analysis for Udacity.
kevin-linps/Iris-flower-data-set
Exploring the Iris Flower Data Set with scikit-learn
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.
Munster2020/HDIP_CSDA_PROJECT
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)
pablo-ferro/ML_iris_flower
ML scikit learn package Iris 3 species
rajababujha/Iris-Flower-Classification
Iris flower classification among setosa, verginica and versicolor.
Rhushabh45/IRIS-Flower-Classification
Simple Classification program to predict the species of an iris flower.
zayndotexe/Applying-Knn-on-IRIS-Dataset
In this notebook we'll see how to use KNN to classify the IRIS Flowers.
Ishan-Kotian/Iris-Flower-Analysis
If you liked my analysis, pls upvote my notebook!
jofaval/iris-flowers
Multilabel Classification of the famous Iris Flowers Dataset from Ronald Aylmer Fisher in 1936
tusharpandey003/Iris-flower-classification
Iris flower classification using KNN and Random forest algorithm
vishwasbasotra/Flower-Classification-WebApp
This Model/WebApp is going to classify the iris flowers for us using Artificial Neural Networks (ANN).