The performance of session-based recommender should be evaluated with business metrics
We should judge a model's performance by its ability to solve our problems - specifically, by the Key Performance Indicators, such as quarterly revenue. Suppose we change our focus from theoretical metrics to business indicators. In that case, we may avoid implementing any ML solution,...
Set this right! – How to prepare recommendation system for the real world
How to setup recommendation system to get the best results...
How does session-based recommendation engine work? WSKNN algorithm overview
How does session-based engine work?...
How should you evaluate session-based recommendations?
Scoring recommender systems...
Toolbox: Name and Frequency of unique elements from a List in Python
Count unique categories in a list...
Create Travel Map with Python and PyGMT
Prepare map for Instagram post...
Get more from Crime Rate data and other socio-economic indicators with Pyinterpolate
Transform low-resolution county aggregates into high-resolution input for your machine learning models and analysis....
Toolbox: Pandas DataFrame into GeoPandas GeoDataFrame
Transform DataFrame to GeoDataFrame in Python....
Data Engineering: Nested Data Structures in Python. How to Prevent Data from Overwriting Itself
How to create nested data structures in Python...
Toolbox: Get Bounding Box Polygon and centroid of a point cloud in Python
How to get bounding box and centroid of a point cloud in Python...