COVID-19 Data Analysis and Prediction Using Machine Learning

Developed a complete Machine Learning project using COVID-19 data to analyze the spread of the pandemic and build a predictive model.

The project includes data cleaning and preprocessing, exploratory data analysis, statistical analysis, and data visualization to identify important trends and patterns in the data.

After analyzing the data, I trained a Machine Learning model to make predictions based on the available COVID-19 features. The model was evaluated to measure its performance and assess the quality of its predictions.

The project was implemented using Python and libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.

This project demonstrates practical skills in data analysis, visualization, preprocessing, Machine Learning, model training, and model evaluation using real-world data.