Hands-On Recommendation Systems with Python

Preparing the data

In its present form, the DataFrame, although clean, does not contain the features that are required to build the plot description-based recommender. Fortunately, these requisite features are available in the original metadata file.

All we have to do is import them and add them to our DataFrame:

#Import the original fileorig_df = pd.read_csv('../data/movies_metadata.csv', low_memory=False)#Add the useful features into the cleaned dataframedf['overview'], df['id'] = orig_df['overview'], orig_df['id']df.head()

The DataFrame should now contain two new features: overview and id. We will use overview in building this model and id for building the next.

The overview feature consists of strings and, ideally, we should clean them ...