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This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)

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PratikhyaManas/Avocado-Prices-Prediction

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Avocado-Prices-Prediction

  1. The objective of this project is to predict the price of avocado sold in the US using historical dataset.

  2. Data represents weekly 2018 retail scan data for National retail volume (units) and price.

  3. The data is as follows: Date - The date of the observation Average Price - the average price of a single avocado type - conventional or organic year - the year Region - the city or region of the observation Total Volume - Total number of avocados sold 4046 - Total number of avocados with PLU 4046 sold 4225 - Total number of avocados with PLU 4225 sold 4770 - Total number of avocados with PLU 4770 sold

    • PLU - Product Lookup codes

Facebook Prophet

  1. Prophet is open source software released by Facebook’s Core Data Science team.
  2. Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
  3. Prophet works best with time series that have strong seasonal effects and several seasons of historical data.
  4. For more information, please check this out: https://research.fb.com/prophet-forecasting-at-scale/ https://facebook.github.io/prophet/docs/quick_start.html#python-api

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This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)

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