A machine learning model for Covid case prediction

Overview

CovidcasePrediction

A machine learning model for Covid case prediction

Problem Statement Using regression algorithms we can able to track the active covid cases

Problem oppertunity We need to get data. We'll use a sample data set for that. The raw data is completely infused in the workspace. Preprocessing is done before the analyzing part. The data must be clean so that the model can analyze correctly. For that the rows with empty values are removed. A module is added fothat process. Individual measurable properties are called features. Each row is representing an automobile and each column represents the feature of that automobile. The model is build accordingly. Now that the data is ready, constructing a predictive model consists of training and testing. We'll use our data to train the model, and then we'll test the model to see how closely it's able to predict prices. Because we want to predict no of cases, which is a number, we'll use a regression algorithm.

Azure Machine learning studio

Here we are using 2 Algorithms

  1. Linear Regression
  2. Neural Network Regression

image

image

image

  1. The input values are to be found
  2. The csv file is converted to dataset
  3. The data miss is cleaned
  4. Split data
  5. The regression algorithms Linear Regression and Neural Network Regression takes place
  6. The data is trained
  7. Train model
  8. Score model
  9. Evaluate Model
  10. Output values obtained

In this case the both the training experiment and predicive experiments are done.

The API key: 8Lnx6+i4W7R2i7aFyGh+gmbhrnEpHrdFzd84kmvka7yEKTnt8P8EEKK46oXxmHHQphffTh9FvdPA2g3FEpCkgw==

https://studio.azureml.net/Home/ViewWorkspaceCached/5343e8d2284d47de9d5a3c941a85e8bf#Workspaces/Experiments/Experiment/5343e8d2284d47de9d5a3c941a85e8bf.f-id.06f7bb2e287e4d74aeaaf2223be0b151/ViewExperiment

The data prediction part is done as

  1. Cough
  2. Fever
  3. Sore Throat
  4. Shortness of Breath
  5. Headache
  6. Age 60 or Above
  7. Corona Result

By giving these values as sample we can predict.

https://studio.azureml.net/Home/ViewWorkspaceCached/5343e8d2284d47de9d5a3c941a85e8bf#Workspaces/Projects/Project/66450ebc-1dd6-44c3-a580-808dfc470798/ProjectDetails image

After that Deploy web service part is done the project is published to gallery. https://gallery.cortanaintelligence.com/Experiment/Covid-19-prediction-two-algos-Predictive-Exp

Owner
VijayAadhithya2019rit
VijayAadhithya2019rit
Napari sklearn decomposition

napari-sklearn-decomposition A simple plugin to use with napari This napari plug

1 Sep 01, 2022
database for artificial intelligence/machine learning data

AIDB v0.0.1 database for artificial intelligence/machine learning data Overview aidb is a database designed for large dataset for machine learning pro

Aarush Gupta 1 Oct 24, 2021
虚拟货币(BTC、ETH)炒币量化系统项目。在一版本的基础上加入了趋势判断

🎉 第二版本 🎉 (现货趋势网格) 介绍 在第一版本的基础上 趋势判断,不在固定点位开单,选择更优的开仓点位 优势: 🎉 简单易上手 安全(不用将api_secret告诉他人) 如何启动 修改app目录下的authorization文件

幸福村的码农 250 Jan 07, 2023
A machine learning toolkit dedicated to time-series data

tslearn The machine learning toolkit for time series analysis in Python Section Description Installation Installing the dependencies and tslearn Getti

2.3k Dec 29, 2022
Predicting India’s COVID-19 Third Wave with LSTM

Predicting India’s COVID-19 Third Wave with LSTM Complete project of predicting new COVID-19 cases in the next 90 days with LSTM India is seeing a ste

Samrat Dutta 4 Jan 27, 2022
A handy tool for common machine learning models' hyper-parameter tuning.

Common machine learning models' hyperparameter tuning This repo is for a collection of hyper-parameter tuning for "common" machine learning models, in

Kevin Hu 2 Jan 27, 2022
A classification model capable of accurately predicting the price of secondhand cars

The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this

Akarsh Singh 2 Sep 13, 2022
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning.

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported ha

Microsoft 1.1k Jan 04, 2023
Falken provides developers with a service that allows them to train AI that can play their games

Falken provides developers with a service that allows them to train AI that can play their games. Unlike traditional RL frameworks that learn through rewards or batches of offline training, Falken is

Google Research 223 Jan 03, 2023
Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.

Lingtrain Alignment Studio Intro Lingtrain Alignment Studio is the ML based app for accurate texts alignment on different languages. Extracts parallel

Sergei Averkiev 186 Jan 03, 2023
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

Bendidi Ihab 9 Feb 13, 2022
CyLP is a Python interface to COIN-OR’s Linear and mixed-integer program solvers (CLP, CBC, and CGL)

CyLP CyLP is a Python interface to COIN-OR’s Linear and mixed-integer program solvers (CLP, CBC, and CGL). CyLP’s unique feature is that you can use i

COIN-OR Foundation 161 Dec 14, 2022
A Python library for choreographing your machine learning research.

A Python library for choreographing your machine learning research.

AI2 270 Jan 06, 2023
A library of sklearn compatible categorical variable encoders

Categorical Encoding Methods A set of scikit-learn-style transformers for encoding categorical variables into numeric by means of different techniques

2.1k Jan 07, 2023
MasTrade is a trading bot in baselines3,pytorch,gym

mastrade MasTrade is a trading bot in baselines3,pytorch,gym idea we have for example 1 btc and we buy a crypto with it with market option to trade in

Masoud Azizi 18 May 24, 2022
[HELP REQUESTED] Generalized Additive Models in Python

pyGAM Generalized Additive Models in Python. Documentation Official pyGAM Documentation: Read the Docs Building interpretable models with Generalized

daniel servén 747 Jan 05, 2023
Reggy - Regressions with arbitrarily complex regularization terms

reggy Regressions with arbitrarily complex regularization terms. Currently suppo

Kim 1 Jan 20, 2022
AutoX是一个高效的自动化机器学习工具,它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

English | 简体中文 AutoX是什么? AutoX一个高效的自动化机器学习工具,它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色: AutoX在多个kaggle数据集上,效果显著优于其他解决方案(见效果对比)。 简单易用: AutoX的接口和sklearn类似,方便上手使用。

4Paradigm 431 Dec 28, 2022
Python based GBDT implementation

Py-boost: a research tool for exploring GBDTs Modern gradient boosting toolkits are very complex and are written in low-level programming languages. A

Sberbank AI Lab 20 Sep 21, 2022
Data from "Datamodels: Predicting Predictions with Training Data"

Data from "Datamodels: Predicting Predictions with Training Data" Here we provid

Madry Lab 51 Dec 09, 2022