Time Series Forecasting with ARIMA and SARIMAX Models in Python

Build and assess time series forecasting models such as ARIMA, ARIMAX, and SARIMAX using real-world data from sectors like Healthcare and Banking for precise predictions.

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Project Outcomes

  • Accurate forecasts improve decision-making and planning in industries like Healthcare and Finance.

  • Helps businesses make informed decisions about inventory, budgeting, and resource allocation.

  • Identifies long-term trends to guide future growth and strategy.

  • Captures seasonal patterns, useful for industries like Retail and Tourism.

  • ARIMAX models integrate external factors like Banking, improving forecast precision.

  • Comparing models ensures the best one is chosen for reliable predictions.

  • Provides strategies for handling missing data and maintaining data quality.

  • Helps businesses adapt to market changes and manage risks effectively.

  • Supports efficient resource allocation, reducing waste, and improving operations.

  • Enables businesses to anticipate and mitigate potential risks before they occur.

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