Senior Data Engineer, National Bank of Belgium
Big Data Engineer, Beyond Limits
Chief Scientific Officer, Machine Medicine Technologies
Chief Science Officer at DataPrime, Inc.
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.
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Hass avocados, a Mexico based company produces a variety of Avocados which are sold in the US. They have been having good success for the past several years and want to expand. For this, they want to build and assess a plausible model to predict the average price of Hass avocado to consider the expansion of different types of Avocado farms that are available for growing in other regions.
Forecast the prices of Avocado in the US
The data comes directly from retailers’ cash registers based on the actual retail sales of Hass avocados.
Some relevant columns in the dataset:
There are two types of avocados in the dataset as well as several different regions represented. This allows you to do all sorts of analysis for different areas of the United States, specific cities, or just the overall United States on either type of avocado. Our analysis will be focused on the complete dataset.
Dataset : https://www.kaggle.com/neuromusic/avocado-prices#avocado.csv
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