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The inputs include objective tests (e.g. PH values) and the output is based on sensory data (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality between 0 (very bad) and 10 (very excellent). The objective is to predict the wine quality classes correctly.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.