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Streamlit app of a time forecasting series of global temperature using the Prophet model.

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mahakanakala/temperature-anamoly-forecasting

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2023-10-23 18 59 59

🏆 Winner of Rutgers Data Science Fall 23 Datathon (Advanced Code/Creative)

Visualizations:

  • Time Series Line plot: Create an animated line chart or heatmap where the animation progresses through the years. This dynamic visualization can help users see how temperature anomalies change over time.
  • Seasonality and Trends:
  • Jointplot: distribution and linear regression: use it to find if the seasons of the year affect the percentage of temperature change
  • Layered line plot: check how far off the forecast is from the original data

Uses of AI:

  • Integrating a Question-and-answer chatbot into the website to ask specific questions about the project using the roberta-base-squad2 from Hugging Face

Model used to build forecaster: Prophet

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Streamlit app of a time forecasting series of global temperature using the Prophet model.

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