iris-flower-classification
There are 1 repository under iris-flower-classification topic.
amberkakkar01 / IRIS-Flower-classification
This project is for the Identification of Iris flower species is presented
Language:Jupyter Notebook 70Pranav-Rastogi / Iris-flower-classification
Simple Classification program to predict the species of an iris flower.
Language:Python 13Hunterdii / AI-Nexus
AI Nexus 🌟 is a streamlined suite of AI-powered apps built with Streamlit. It features 👗 StyleScan for fashion classification, 🩺 GlycoTrack for diabetes prediction, 🔢 DigitSense for digit recognition, 🌸 IrisWise for iris species identification, 🎯 ObjexVision for object recognition, and 🎓 GradeCast for GPA prediction with detailed insights.
datasciencediabetes-predictiondiabetes-risk-predictiongradient-boostingknn-algorithmknn-classificationlinear-regressionmachine-learningpython3random-forest-regressionstreamlitxgboost-algorithmcifar10-classificationgpa-predictioniris-flower-classificationmnist-classificationmnist-fashion-classificationkeras-classification-modelstensorflow-modelsgood-first-issueLanguage:Jupyter Notebook 6leilamr / fisheriris-mlp
Iris flower classification with MLP using MATLAB.
Language:MATLAB 5Vaaceph / iris-flower-classification
An application for beginners of Machine Learning for understanding Machine Learning basic concepts.
Language:Python 5ADVAIT135 / 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
Language:Jupyter Notebook 3- Language:Jupyter Notebook 3
usmanbvp / IRIS-Flower-Classification
The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.
Language:Python 3kshitizrohilla / 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.
iris-classificationiris-datasetiris-floweriris-flower-categoryiris-flower-classificationiris-flower-datairis-flower-datasetiris-flowersk-nearest-neighbork-nearest-neighbor-classifierk-nearest-neighborsk-nearest-neighboursknnknn-algorithmknn-classificationknn-classifierk-nearest-neighbors-algorithmknn-modelLanguage:Jupyter Notebook 2pranjalm27 / Basic-Projects
In this repository, I have done simple python projects for understanding the python environment.
Language:Jupyter Notebook 2sahebsinghh / LGMVIP-DataScience
Data Science Intern @LetsGrowMore Foundation LGMVIP October-21
Language:Jupyter Notebook 2anantSinghCross / iris-flower-classification
A machine-learning project that classifies Iris Flowers based on certain characteristics (Training + Deployment)
Language:Python 1GeoRouv / iris-flower-classification
🌼 Classify the different species of the Iris flower.
Language:Python 1JuzerShakir / Iris_Flower
Implementing all ML models and feature selection techniques that can be used.
Language:HTML 1laxmanbalaraman / TheSparksFoundationInternship-Prediction-using-decision-tree-algorithm
Sparks foundation Data analytics task#6 Prediction using decision tree algorithm on the Iris dataset
Language:Jupyter Notebook 1Macedo-SF / Computational-Intelligence
Learning with sklearn diabetes and iris flower dataset, single and multiple linear regression, classification with multi-layer perceptron, kneighbors and support vector machines.
Language:Python 1Md-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.
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Yarlagadda-saimanoj / Iris-Flower-Classifier
The "Iris-Flower-Classifier" is a machine learning project that categorizes Iris flowers into three species based on their measurements. It involves data preprocessing, model training, and evaluation, showcasing a fundamental classification task.
Language:Jupyter Notebook 1yogeshnile / Iris-Flower-Classification-using-Machine-Learning
This is basic Machine Learning project of Iris Flower Classification
Language:Jupyter Notebook 1Aanya-Saroha / CODSOFT
Projects
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AmandeepKanwar / Excryptrix_Projects
This repository comprises three distinct machine learning projects :Titanic Survival Prediction, Movie Rating Prediction, Iris Flower Classification,
Language:Jupyter Notebook 0dhara-paneri24 / CODSOFT
Tasks and Projects completed during the Data Science internship at CODSOFT
Language:Jupyter Notebook 0DivyalakshmiK / CognoRise-Infotech
A repository containing all my tasks/projects during my internship at CognoRise Infotech
0Emna-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 0NisarAhmedSiddiqui / Data-Science-Portfolio
I am currently pursuing an internship where I am honing my skills in data science and machine learning. My passion lies in uncovering insights from data and building predictive models that can drive meaningful impact.
Language:Jupyter Notebook 0NISHITA322 / CODSOFT
Data Science Internship at CodSoft
Language:Python 0AnishaVS07 / OIBSIP
I recently completed my five distinct tasks, as part of my data science and machine learning internship at Oasis infobyte.
Language:Jupyter NotebookFiya09 / IRIS-FLOWER-DATASET
Project Portfolio Exploratory Data Analysis EDA is Exploratory and Explanatory Data Analysis. I'm using iris dataset from sklearn. I'm using The dataset from this link : https://scikit-learn.org/1.5/modules/generated/sklearn.datasets.load_iris.html#sklearn.datasets.load_iris
Language:Jupyter Notebookitzdineshx / 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.
Language:Jupyter Notebooksoubhatta / InfoaidTech
Projects on Machine Learning Internship
Language:Jupyter Notebooktusharpandey003 / Iris-flower-classification
Iris flower classification using KNN and Random forest algorithm
Language:Jupyter NotebookYashmenaria1 / Iris-Flower-Classification
The goal of this project is to develop a machine learning model for the classification of Iris flowers based on their sepal and petal measurements. The dataset used for this task is the well-known Iris dataset, which includes features such as sepal length, sepal width, petal length, and petal width.
Language:Jupyter Notebookyuvrajsaraogi / -Iris-Flower-Classification
Iris flower has three species; setosa, versicolor, and virginica, which differs according to their measurements. Now assume that you have the measurements of the iris flowers according to their species, and the task is to train a machine learning model that can learn from the measurements of the iris species and classify them.
Language:Jupyter Notebook
