Building Data Products with Python: Using Machine Learning to Provide Recommendations

This is the third part of our tutorial on how to build a web-based wine review and recommendation system using Python technologies such as Django, Pandas, SciPy, and Scikit-learn. In the first tutorial, we started a Django project and a Django app for our Wine recommender web application. The whole thing will be an incremental process that can be followed by checking out individual tags in our GitHub repo. By doing so, you can work in those individual tasks at a given stage that you find more interesting or difficult. In this second tutorial, we added user management. This was an important part. Now we are able to identify individual users, and we are finally ready to generate user recommendations through machine learning. So this third part will show how…


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