Project Submission

Submit Your Time Series Forecasting

Create a public GitHub repository with the exact name shown below, add all required files, and enter your GitHub username to submit.

Repository Requirements

Your repository must have this exact name:

github.com/<your-username>/time-series-forecasting
Required Files and Folders
  • data/
  • energy_consumption.csv
  • notebooks/
  • time_series_analysis.ipynb
  • requirements.txt
  • README.md
README.md Must Include:
  • Your full name and submission date
  • Project overview and business context
  • Model comparison table with MAE, RMSE, MAPE for ARIMA and Prophet
  • Best model selection with justification
  • Key findings from trend and seasonality analysis
  • Technologies used (Python, Statsmodels, Prophet, etc.)
  • Instructions to run the notebook
  • Screenshots of at least 4 visualizations
Required (submission will fail without these)

Submission Form

github.com/
Enter only your username. We will verify the repository time-series-forecasting exists in your account.

Your repository will be verified before submission is accepted

Project Submitted Successfully!

Your project has been verified and submitted. Congratulations on completing the Time Series Forecasting project!