Time Series Forecasting with Prophet – Ready-to-Go Python Template

Forecast the future in minutes — no setup required.

This plug-and-play Jupyter Notebook uses Facebook Prophet to help you forecast time series data with ease. Whether you’re working with healthcare metrics, business trends, or sensor logs, this template makes it easy to go from raw CSV to a clean, exportable forecast.

Key Features:

• Accepts any time series CSV (e.g., monthly medical data, stock prices)
• Automatically prepares your dataset for Prophet
• Handles train/test split for evaluation
• Forecasts and visualizes future values
• Exports predictions to CSV

Includes:

• Prophet_TimeSeries_Forecasting_Template.ipynb
• Sample dataset: time_series_medical_records.csv
• README.md + LICENSE.txt

Beginner-friendly
Runs on Jupyter, VS Code, or Colab
Ideal for health analytics, business forecasting, education, and more

By Dr. Rene Claude Kouakou
ML Educator | Software Engineer | Preacher