Offered By: IBM
Machine Learning Analysis fundamentals in Retail
This lab is dedicated to learning the basic Machine Learning methods for analysis of Retail based on Global Food Prices data from the World Food Programme covering foods such as maize(corn), rice, beans, fish, and sugar for 76 countries and 1,500 markets.
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Artificial Intelligence
47 EnrolledAt a Glance
This lab is dedicated to learning the basic Machine Learning methods for analysis of Retail based on Global Food Prices data from the World Food Programme covering foods such as maize(corn), rice, beans, fish, and sugar for 76 countries and 1,500 markets.
This lab uses the basic methods of Machine Learning to predict prices in markets around the world. Three different types of forecasting prices for purchases are considered:
- Establishment of functional relationships between groups of goods in the markets of a particular country. This is based on the found dependencies, the construction of the forecast and sensitivity analysis between price fluctuations for different groups of goods
- Establishing relationships between prices in the different markets of a country
- Analysis of the impact of the price of goods of exporting countries on the domestic market price of the importing country.
Estimated Effort
1 hour
Level
Intermediate
Industries
Retail
Skills You Will Learn
Data Science, Machine Learning, Artificial Intelligence
Language
English