Covid-19-Analysis-Visualization-and-Prediction

In this Mini project i had first analyzed and visualized the existing data for covid-19 and then using the Prophet library will Predicted the (future) for the Positive Cases , Death Toll, Recovered Cases. I have Uploaded both jupyter notebook file in the name of miniprojectbook.ipynb and also .py file in miniproject folder I have uploaded the notebook without the output because of the longer output it may can get messy so you can always install the mentioned libraries and run the notebook for the output.

Dataset Information

For Data set GOTO [https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset]

My Data set was upto 29/05/2021

Prediction Shown for 300 days but the number of days can be changed from the Line of code as shown below

in line of code

[future=predictModel.make_future_dataframe(periods=300)]

just change the number of periods to your desirable number for change in timePeriod but don't make it too large!

Prediction at a glance

Python libraries used in the project as listed below

-> Libraries used for Data analysis

Pandas NumPy

-> Libraries used for Visualization

Plotly Seaborn Folium Matplotlib

-> Libraries used for Prediction

Prophet

Confirmed Cases Plot from data analysed

Death Toll Plot from data analysed

Recovered Cases Plot from data analysed

Predicted (future) Confirmed Cases Plot

Predicted (future) DeathToll Plot

Predicted (future) Recovered Cases Plot

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