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Wine tasting is a unique profession, it is usually difficult to predict what the customer would like, based on the past preferences, hence in this machine learning project before recommending any particular variety of wine to the customer if we can identify their preferences using data mining processing from the physiochemical properties of the wines, it would be easier for the restaurant to recommend wines. This machine learning project example can be taken to other similar products that can help in target marketing by modeling consumer tastes from niche markets.
Wine dataset is considered for this R machine learning project, with white and red vinho verde samples (from Portugal)
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Machine Learning Project in R -Predict which customers will leave an insurance company in the next 12 months.