The learning project from the DataCamp practical exam for Data Scientist Professional Certificate. The goals is to predict popular recipes (recipes with high traffic) on the fictional website by their features.
The dataset of fictional site with recipes is from DataCamp.
The given problem was solved by using the scikit-learn Logistic Regressin and Random Forest. The result is in the notebook.ipynb file.