COVID-19 Case Forecasting with Python
Anastasiya Kotelnikova
COVID-19 Case Forecasting (Python)
This project forecasts COVID-19 case surges across various regions using traditional machine learning and deep learning (LSTM) models in Python. The goal is to identify potential outbreaks and support public health planning.
Dataset
Format: CSV (~1MB)
Fields: Region, Date, Confirmed Cases, Deaths, Recoveries, etc.
Techniques Used
Data preprocessing and feature selection
Time series visualization and analysis
Logistic regression & Random Forest models
LSTM model with Keras & TensorFlow
Model tuning and evaluation (RMSE, accuracy)
Model Performance
Achieved accurate case trend forecasts across multiple regions
LSTM model outperformed traditional models in long-term trend prediction
Project Structure
Key Takeaways
Practiced real-world data cleaning and forecasting
Compared regression vs. LSTM performance on time series
Applied ML to global health prediction challenges
Author
Anastasiya Kotelnikova
MS Data Science Candidate | NJIT
Email: anastasiyakotelnikova21@gmail.com
GitHub Profile • Portfolio Website • LinkedIn
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COVID-19 Case Forecasting (Python)
This project forecasts COVID-19 case surges across various regions using traditional machine learning and deep learning (LSTM) models in Python. The goal is to identify potential outbreaks and support public health planning.
Dataset
Format: CSV (~1MB)
Fields: Region, Date, Confirmed Cases, Deaths, Recoveries, etc.
Techniques Used
Data preprocessing and feature selection
Time series visualization and analysis
Logistic regression & Random Forest models
LSTM model with Keras & TensorFlow
Model tuning and evaluation (RMSE, accuracy)
Model Performance
Achieved accurate case trend forecasts across multiple regions
LSTM model outperformed traditional models in long-term trend prediction
Project Structure
Key Takeaways
Practiced real-world data cleaning and forecasting
Compared regression vs. LSTM performance on time series
Applied ML to global health prediction challenges
Author
Anastasiya Kotelnikova
MS Data Science Candidate | NJIT
Email: anastasiyakotelnikova21@gmail.com
GitHub Profile • Portfolio Website • LinkedIn
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Posted Jun 24, 2025
Forecasted COVID-19 case surges using ML and DL models in Python.
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Oct 2, 2024 - Nov 7, 2024
