Predict Wine Preferences of Customers using Wine Dataset

Predict Wine Preferences of Customers using Wine Dataset

In this machine learning project, you will build predictive models to identify wine preferences of people using physiochemical properties of wines and help restaurants recommend the right quality of wine to a customer.

Videos

Each project comes with 2-5 hours of micro-videos explaining the solution.

Code & Dataset

Get access to 50+ solved projects with iPython notebooks and datasets.

Project Experience

Add project experience to your Linkedin/Github profiles.

Customer Love

Read All Reviews

Camille St. Omer

Artificial Intelligence Researcher, Quora 'Most Viewed Writer in 'Data Mining'

I came to the platform with no experience and now I am knowledgeable in Machine Learning with Python. No easy thing I must say, the sessions are challenging and go to the depths. I looked at graduate... Read More

Shailesh Kurdekar

Solutions Architect at Capital One

I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. I was referred here by a... Read More

What will you learn

Use of outlier detection techniques
Use of feature selection methods
Application of Lasso Model, out of sample validation using Lasso model
Application of elastic net regression, to build a binary classification
Cross-validation results and result interpretation

Project Description

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)

Similar Projects

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.

Curriculum For This Mini Project

26-Sept-2016
02h 42m
27-Sept-2016
02h 46m