/Covid19_Analysis-and-Prediction

Primary LanguageJupyter Notebook

PR's Welcome made-with-python

Covid-19 Analysis and Prediction

Overview

Analysis is done on the Covid-19 dataset.

Linear Regression and Polynomial Regression models are created to predict the number of covid cases in the future.

K-Fold Cross Validation is used to get generalized accuracy of the Linear regression model.

Prerequisites

  • Python 3
  • an IDE (preferably Jupyter Notebook)
  • Pandas
  • Numpy
  • Matplotlib
  • Sklearn
  • Seaborn
  • Plotly

All the external dependencies can be installed by using pip install -r requirements.txt

Author

  • Rishikesh Sivakumar

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