Here is the learning project from the DataCamp practical examination for the Data Scientist Professional Certificate. The objective of this study is to predict popular recipes (recipes with high traffic on the fictional website) based on their characteristics.

Libraries utilized: numpy, pandas, seaborn, matplolib, sklearn.

• Dataset
• Machine learning approach

It is based on the dataset of a fictional site with recipes provided by DataCamp.

The given problem was solved using scikit-learn Logistic Regression, Linear SVC Model and Random Forest.