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Student Notes

Dear Reviewer, Here I am ensuring the availability of the following link i submitted for my project, please review this project.

My Blog Post (Dealing Pandemic with Data Science) Link:

            https://medium.com/@Abhishe55410508/dealing-pandemic-with-data-science-133a1e0e7577

GitHub Repository (Capstone Project) Link:

            https://github.com/abhishekpandeyIT/CapstoneProject.git

Thanking You and praying for your Good Health and safety in this Hard Time.

CapstoneProject

Covid-19 Outbreak Prediction Using Machine Learning using the Datasets upto 25th March.

Its 25th March Afternoon and India has reported its 9th death with 562 total confirmed cases due to COVID-19. Fresh cases from Manipur, Bihar, Gujrat, and Madhya Pradhesh have been reported by the Union Ministry of Health and Family Welfare.

We need a strong model that predicts how the virus could spread across different countries and regions. The goal of this task is to build a model that predicts the spread of the virus in the next 7 days.

This Model prediction might not be 100% accurate but it can predict the rate of spread of virus infection with good accuracy.

Libraries used:

For Data Manipulation

    import pandas as pd

Visualisation libraries

    import matplotlib.pyplot as plt
    %matplotlib inline 
    import seaborn as sns
    import plotly.express as px
    import plotly.graph_objects as go
    import folium 
    from folium import plugins

Manipulating the default plot size

    plt.rcParams['figure.figsize'] = 10, 12

Disable warnings

    import warnings
    warnings.filterwarnings('ignore')

Why Folium used?

Folium makes it easy to visualize data that's been manipulated in Python on an interactive Leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing Vincent/Vega visualizations as markers on the map.

Present Condition of Corona Infection:

World:

Coronavirus Cases:4,543,060 Deaths: 303,707 Recovered:1,712,895

India:

Coronavirus Cases:82,264 Deaths:2,649 Recovered:28,086

Symptoms of Corona

COVID-19 affects different people in different ways. Most infected people will develop mild to moderate illness and
recover without hospitalization.

Most common symptoms:

    1. fever
    2. dry cough
    3. tiredness
    4. Less common symptoms:
    5. aches and pains
    6. sore throat
    7. diarrhoea
    8. conjunctivitis
    9. headache
    10.loss of taste or smell
    11.a rash on skin, or discolouration of fingers or toes

Serious symptoms:

    1. difficulty breathing or shortness of breath
    2. chest pain or pressure
    3. loss of speech or movement
    4. Seek immediate medical attention if you have serious symptoms. Always call before visiting your doctor or health facility.
    5. People with mild symptoms who are otherwise healthy should manage their symptoms at home.
    6. On average it takes 5–6 days from when someone is infected with the virus for symptoms to show, however it can take up to 14 days.

Stay Safe, Stay Home.

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Covid-19 Outbreak Prediction Using Machine Learning

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