Comparative Analysis of Machine Learning Models for Covid-19 Forecasting, 2024-02-01, Developed a Covid-19 forecasting model using various machine learning algorithms, including Linear Regression, Random Forests, and LSTM networks. Leveraged public datasets from JHU and WHO and utilized Python libraries like Pandas and NumPy for data preprocessing and Matplotlib for visualization. Employed evaluation metrics such as MAE and RMSE to assess model accuracy, contributing to advancements in predictive analytics and public health strategy planning.