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Machine Learning - Forecasting Using Regression Models (part1)

Chloooo
5 min readMay 7, 2020

I did an interesting project recently and would like to share the progress here, hope you can benefit from it as well.

First, a brief introduction of the project:

Topic: Average Avocado Price In US Market Estimator

The goal of this project is to predict the average price of avocado, given weekly retail scan data on avocado prices and sales volume in multiple US markets from year 2015, 2016, 2017 and 2018. This could be used by retailers to check if their price is lower or higher than the average and adjust their sales strategy accordingly.

The dataset is taken from Kaggle: avocado.csv

The dataset attributes are as follows:

1. index
2. Date — The date of the observation
3. AveragePrice — the average price of a single avocado
4. Total Volume — Total number of avocados sold (4046 + 4225 + 4770 + Total Bags)
5. 4046 — Total number of avocados with PLU 4046 sold
6. 4225 — Total number of avocados with PLU 4225 sold
7. 4770 — Total number of avocados with PLU 4770 sold
8. Total Bags — Total number of avocados in bags sold (Small Bags + Large Bags + XLarge Bags)
9. Small Bags
10. Large Bags
11. XLarge Bags
12. type — conventional or organic
13. year — the year
14. region — the city or region of the observation

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Chloooo
Chloooo

Written by Chloooo

Writing articles to test own knowledge depth

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