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
pandas, scikit-learn, xgboost and seaborn integration

pandas, scikit-learn and xgboost integration.

299 Dec 30, 2022
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Hivemind: decentralized deep learning in PyTorch Hivemind is a PyTorch library to train large neural networks across the Internet. Its intended usage

1.3k Jan 08, 2023
Python 3.6+ toolbox for submitting jobs to Slurm

Submit it! What is submitit? Submitit is a lightweight tool for submitting Python functions for computation within a Slurm cluster. It basically wraps

Facebook Incubator 768 Jan 03, 2023
XAI - An eXplainability toolbox for machine learning

XAI - An eXplainability toolbox for machine learning XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contai

The Institute for Ethical Machine Learning 875 Dec 27, 2022
This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you ask it.

Crypto-Currency-Predictor This machine-learning algorithm takes in data from the last 60 days and tries to predict tomorrow's price of any crypto you

Hazim Arafa 6 Dec 04, 2022
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

alkaline-ml 1.3k Jan 06, 2023
Tribuo - A Java machine learning library

Tribuo - A Java prediction library (v4.1) Tribuo is a machine learning library in Java that provides multi-class classification, regression, clusterin

Oracle 1.1k Dec 28, 2022
Pandas Machine Learning and Quant Finance Library Collection

Pandas Machine Learning and Quant Finance Library Collection

148 Dec 07, 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
Turns your machine learning code into microservices with web API, interactive GUI, and more.

Turns your machine learning code into microservices with web API, interactive GUI, and more.

Machine Learning Tooling 2.8k Jan 02, 2023
Uses WiFi signals :signal_strength: and machine learning to predict where you are

Uses WiFi signals and machine learning (sklearn's RandomForest) to predict where you are. Even works for small distances like 2-10 meters.

Pascal van Kooten 5k Jan 09, 2023
Binary Classification Problem with Machine Learning

Binary Classification Problem with Machine Learning Solving Approach: 1) Ultimate Goal of the Assignment: This assignment is about solving a binary cl

Dinesh Mali 0 Jan 20, 2022
Fundamentals of Machine Learning

Fundamentals-of-Machine-Learning This repository introduces the basics of machine learning algorithms for preprocessing, regression and classification

Happy N. Monday 3 Feb 15, 2022
K-Means clusternig example with Python and Scikit-learn

Unsupervised-Machine-Learning Flat Clustering K-Means clusternig example with Python and Scikit-learn Flat clustering Clustering algorithms group a se

Emin 1 Dec 13, 2021
Machine Learning University: Accelerated Natural Language Processing Class

Machine Learning University: Accelerated Natural Language Processing Class This repository contains slides, notebooks and datasets for the Machine Lea

AWS Samples 2k Jan 01, 2023
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

Microsoft 14.5k Jan 07, 2023
Covid-polygraph - a set of Machine Learning-driven fact-checking tools

Covid-polygraph, a set of Machine Learning-driven fact-checking tools that aim to address the issue of misleading information related to COVID-19.

1 Apr 22, 2022
A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

⚡ funk-svd funk-svd is a Python 3 library implementing a fast version of the famous SVD algorithm popularized by Simon Funk during the Neflix Prize co

Geoffrey Bolmier 171 Dec 19, 2022
Adaptive: parallel active learning of mathematical functions

adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu

741 Dec 27, 2022
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

天河 32 Oct 25, 2022