Data Mining for COVID-19

📝 Project Details:

Taking a data mining approach to understand a COVID-19 dataset, and using machine learning to make predictions.

❓ Problem:

The number of infected cases continue to rise everyday. Find a way to predict if patients will be hospitalized, deceased or recovered based on the given dataset.

✔️ Solution:

1. Data Analysis and Preprocessing
2. Data visualizations
3. Creating and tuning ML models
4. Predicting with ML models

• Libraries:

  • Models: AdaBoost and RandomForest
  • Preprocessing: pandas, numpy, and scikit-learn
  • Visualization: matplotlib and seaborn

🤝 Contributions:

1. Kourosh: preprocessing, analysis, visualizations, building models, and hyperparameter tuning, and documentation
2. Julian: preprocessing, building models, and documentation
3. Robert: preprocessing, documentation

📊 Data Visualization and Reports: