To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

Last update: Jan 11, 2022

Overview

Iris Data Set

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. 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.

Predicted attribute: Class of iris plant.

This is an exceedingly simple domain.

Attribute Information:

sepal length in cm
sepal width in cm
petal length in cm
petal width in cm
class: -- Iris Setosa -- Iris Versicolour -- Iris Virginica

Owner

Astitva Veer Garg

CSE Undergraduate W/S Artificial Intelligence and Machine Learning From SRM Institute Of Science and Technology

GitHub Repository

About Solve CTF offline disconnection problem - based on python3's small crawler

About Solve CTF offline disconnection problem - based on python3's small crawler, support keyword search and local map bed establishment, currently support Jianshu, xianzhi,anquanke,freebuf,seebug

32 Oct 25, 2022

Production Grade Machine Learning Service

This project is made to help you scale from a basic Machine Learning project for research purposes to a production grade Machine Learning web service

10 Apr 04, 2022

AtsPy: Automated Time Series Models in Python (by @firmai)

Automated Time Series Models in Python (AtsPy) SSRN Report Easily develop state of the art time series models to forecast univariate data series. Simp

465 Jan 02, 2023

Machine Learning for RC Cars

Suiron Machine Learning for RC Cars Prediction visualization (green = actual, blue = prediction) Click the video below to see it in action! Dependenci

706 Jan 02, 2023

Iris-Heroku - Putting a Machine Learning Model into Production with Flask and Heroku

Puesta en Producción de un modelo de aprendizaje automático con Flask y Heroku L

1 Jun 03, 2022

A machine learning web application for binary classification using streamlit

Machine Learning web App This is a machine learning web application for binary classification using streamlit options this application contains 3 clas

1 Dec 20, 2021

MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training

MosaicML Composer MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training. We aim to ease th

2.8k Jan 06, 2023

As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts! Open Source Program: SWOC 2021 and JWOC 2022.

Machine Learning Loot Crate 💻 🧰 🔴 Welcome contributors! As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Cra

89 Dec 28, 2022

Upgini : data search library for your machine learning pipelines

Automated data search library for your machine learning pipelines → find & deliver relevant external data & features to boost ML accuracy :chart_with_upwards_trend:

175 Jan 08, 2023

Implementation of different ML Algorithms from scratch, written in Python 3.x

393 Nov 29, 2022

Relevance Vector Machine implementation using the scikit-learn API.

scikit-rvm scikit-rvm is a Python module implementing the Relevance Vector Machine (RVM) machine learning technique using the scikit-learn API. Quicks

204 Nov 18, 2022

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

124 Dec 28, 2022

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

Related tags

Overview

Iris Data Set

Owner

Astitva Veer Garg

About Solve CTF offline disconnection problem - based on python3's small crawler

Production Grade Machine Learning Service

AtsPy: Automated Time Series Models in Python (by @firmai)

Machine Learning for RC Cars

Iris-Heroku - Putting a Machine Learning Model into Production with Flask and Heroku

A machine learning web application for binary classification using streamlit

MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training

As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts! Open Source Program: SWOC 2021 and JWOC 2022.

Upgini : data search library for your machine learning pipelines

Implementation of different ML Algorithms from scratch, written in Python 3.x

Relevance Vector Machine implementation using the scikit-learn API.

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

Apple-voice-recognition - Machine Learning

Decision Tree Regression algorithm implemented on Python from scratch.

Automated Machine Learning with scikit-learn

A library to generate synthetic time series data by easy-to-use factors and generator

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

Formulae is a Python library that implements Wilkinson's formulas for mixed-effects models.

Turning images into '9-pan' palettes using KMeans clustering from sklearn.

Implementation of K-Nearest Neighbors Algorithm Using PySpark