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

Official code for HH-VAEM

HH-VAEM This repository contains the official Pytorch implementation of the Hierarchical Hamiltonian VAE for Mixed-type Data (HH-VAEM) model and the s

8 Nov 30, 2022

🔬 A curated list of awesome machine learning strategies & tools in financial market.

1.6k Dec 30, 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

A Python package to preprocess time series

Disclaimer: This package is WIP. Do not take any APIs for granted. tspreprocess Time series can contain noise, may be sampled under a non fitting rate

57 Dec 17, 2022

Implementation of the Object Relation Transformer for Image Captioning

Object Relation Transformer This is a PyTorch implementation of the Object Relation Transformer published in NeurIPS 2019. You can find the paper here

158 Dec 24, 2022

Dive into Machine Learning

Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You

11.1k Jan 03, 2023

A toolkit for geo ML data processing and model evaluation (fork of solaris)

An open source ML toolkit for overhead imagery. This is a beta version of lunular which may continue to develop. Please report any bugs through issues

4 Nov 04, 2021

ANNchor is a python library which constructs approximate k-nearest neighbour graphs for slow metrics.

Fast k-NN graph construction for slow metrics

28 Dec 29, 2022

Python package for machine learning for healthcare using a OMOP common data model

This library was developed in order to facilitate rapid prototyping in Python of predictive machine-learning models using longitudinal medical data from an OMOP CDM-standard database.

75 Jan 03, 2023

This is the code repository for LRM Stochastic watershed model.

LRM-Squannacook Input data for generating stochastic streamflows are observed and simulated timeseries of streamflow. their format needs to be CSV wit

1 Feb 14, 2022

Warren - Stock Price Predictor

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

153 Jan 03, 2023

Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)

64 Nov 30, 2022

Python Automated Machine Learning library for tabular data.

Simple but powerful Automated Machine Learning library for tabular data. It uses efficient in-memory SAP HANA algorithms to automate routine Data Scie

47 Dec 17, 2022

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

393 Nov 29, 2022

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Prophet: Automatic Forecasting Procedure Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends ar

15.4k Jan 07, 2023

SIMD-accelerated bitwise hamming distance Python module for hexidecimal strings

hexhamming What does it do? This module performs a fast bitwise hamming distance of two hexadecimal strings. This looks like: DEADBEEF = 1101111010101

12 Oct 14, 2022

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Time series analysis today is an important cornerstone of quantitative science in many disciplines, including natural and life sciences as well as eco

129 Dec 24, 2022

Python package for causal inference using Bayesian structural time-series models.

Python Causal Impact Causal inference using Bayesian structural time-series models. This package aims at defining a python equivalent of the R CausalI

219 Dec 11, 2022

Mixing up the Invariant Information clustering architecture, with self supervised concepts from SimCLR and MoCo approaches

Self Supervised clusterer Combined IIC, and Moco architectures, with some SimCLR notions, to get state of the art unsupervised clustering while retain

9 Feb 13, 2022

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

Parallelized symbolic regression built on Julia, and interfaced by Python. Uses regularized evolution, simulated annealing, and gradient-free optimization.

924 Jan 03, 2023