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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
Recently I became interested in Hadoop as I think its a great platform for storing and analyzing large structured and unstructured data sets. The experts did a great job not only explaining the... Read More
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)
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.