🦠 COVID-19 Data Analysis & Forecasting

This project focuses on the analysis and forecasting of COVID-19 cases using real-world datasets. It performs preprocessing, visualization, and time-series forecasting using ARIMA models to predict confirmed cases over time.

📦 Tech Stack:

🔍 Use:

Technology	Description
	Interactive web application framework
	Dynamic visualizations & maps
	ML models and evaluation metrics
	ARIMA-based time-series forecasting
	Data cleaning and wrangling
	Numerical operations
	Static visualizations
	Statistical plotting and heatmaps
	Notebook-based prototyping and exploration

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📁 Files

Notebook	Purpose
main_proj.ipynb	Preprocessing, EDA, cumulative/daily case analysis
COVID_proj_new.ipynb	Time-series modeling, ARIMA forecasting, RMSE evaluation

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🧪 Sample Outputs

Visualizations include cumulative trends, daily spikes, and future forecasts.

Add sample screenshots or plots here if desired.

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🚀 Getting Started

📦 Install Dependencies

pip install pandas numpy matplotlib seaborn statsmodels jupyter