Welcome to the COVID-19 Data Analysis and Prediction project! In this repository, I have conducted a comprehensive analysis of three COVID-19 datasets: new daily admissions, total deaths, and new daily cases. These datasets were analyzed individually and then combined to gain valuable insights into the progression of the pandemic.
- Analyzed three critical COVID-19 datasets.
- Utilized Neural Networks for predictive modeling.
- Predicted daily deaths and admissions.
The datasets used in this project were obtained from NHS sources, ensuring data accuracy and consistency.
I have performed a variety of data analysis techniques to understand the COVID-19 pandemic's impact. Some of the key findings include:
- Temporal trends in daily admissions, total deaths, and new daily cases.
- Correlations between various pandemic-related variables.
To gain deeper insights and provide valuable information for future planning, we used Neural Networks for predictive modeling. We trained the model on historical data to predict:
- Daily deaths due to COVID-19.
- Daily hospital admissions related to COVID-19.
- Daily new cases of COVID-19.