time-series-analysis

To analyze time series data for trends and seasonality, you can use this Skill to process datasets with date/time information. It automatically detects seasonal patterns and extracts underlying trends using Prophet and statsmodels.

Forecasting future sales from historical data is handled by applying machine learning techniques alongside Prophet. This Skill generates future value predictions by recognizing time-based patterns in your past sales numbers.

Yes, you can use pandas dataframes for time series forecasting with Prophet. The Skill relies on pandas for data handling and integrates Prophet directly to process date/time columns and produce forecasts.

This time series analysis approach supports machine learning models like LightGBM and scikit-learn. It combines these frameworks with statsmodels to provide robust trend identification and future forecasting.

You should use Prophet versus statsmodels depending on your time series analysis needs; Prophet excels at daily seasonal data, while statsmodels offers broader statistical modeling, and this Skill integrates both.