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
My capstone project for Udacity's Machine Learning Nanodegree

MLND-Capstone My capstone project for Udacity's Machine Learning Nanodegree Lane Detection with Deep Learning In this project, I use a deep learning-b

Michael Virgo 407 Dec 12, 2022
Practical Time-Series Analysis, published by Packt

Practical Time-Series Analysis This is the code repository for Practical Time-Series Analysis, published by Packt. It contains all the supporting proj

Packt 325 Dec 23, 2022
Simple data balancing baselines for worst-group-accuracy benchmarks.

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

Facebook Research 29 Dec 02, 2022
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

FINRA 25 Dec 28, 2022
Time Series Prediction with tf.contrib.timeseries

TensorFlow-Time-Series-Examples Additional examples for TensorFlow Time Series(TFTS). Read a Time Series with TFTS From a Numpy Array: See "test_input

Zhiyuan He 476 Nov 17, 2022
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model

A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid sym

Priyansh Sharma 2 Oct 06, 2022
A project based example of Data pipelines, ML workflow management, API endpoints and Monitoring.

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

Utsav 33 Dec 03, 2022
Implementation of linesearch Optimization Algorithms in Python

Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti

Paul 3 Dec 06, 2022
Simple Machine Learning Tool Kit

Getting started smltk (Simple Machine Learning Tool Kit) package is implemented for helping your work during data preparation testing your model The g

Alessandra Bilardi 1 Dec 30, 2021
Apache Liminal is an end-to-end platform for data engineers & scientists, allowing them to build, train and deploy machine learning models in a robust and agile way

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validat

The Apache Software Foundation 121 Dec 28, 2022
Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python Open access and Code This repository contains the open access version of the text and the code examples in

Bayesian Modeling and Computation in Python 339 Jan 02, 2023
pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM

pywFM pywFM is a Python wrapper for Steffen Rendle's libFM. libFM is a Factorization Machine library: Factorization machines (FM) are a generic approa

João Ferreira Loff 251 Sep 23, 2022
A Multipurpose Library for Synthetic Time Series Generation in Python

TimeSynth Multipurpose Library for Synthetic Time Series Please cite as: J. R. Maat, A. Malali, and P. Protopapas, “TimeSynth: A Multipurpose Library

278 Dec 26, 2022
Simple, light-weight config handling through python data classes with to/from JSON serialization/deserialization.

Simple but maybe too simple config management through python data classes. We use it for machine learning.

Eren Gölge 67 Nov 29, 2022
Management of exclusive GPU access for distributed machine learning workloads

TensorHive is an open source tool for managing computing resources used by multiple users across distributed hosts. It focuses on granting

Paweł Rościszewski 131 Dec 12, 2022
pandas, scikit-learn, xgboost and seaborn integration

pandas, scikit-learn and xgboost integration.

299 Dec 30, 2022
BudouX is the successor to Budou, the machine learning powered line break organizer tool.

BudouX Standalone. Small. Language-neutral. BudouX is the successor to Budou, the machine learning powered line break organizer tool. It is standalone

Google 868 Jan 05, 2023
A modular active learning framework for Python

Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe

modAL 1.9k Dec 31, 2022
Evidently helps analyze machine learning models during validation or production monitoring

Evidently helps analyze machine learning models during validation or production monitoring. The tool generates interactive visual reports and JSON profiles from pandas DataFrame or csv files. Current

Evidently AI 3.1k Jan 07, 2023
Automated Machine Learning with scikit-learn

auto-sklearn auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. Find the documentation here

AutoML-Freiburg-Hannover 6.7k Jan 07, 2023