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...
Which movie should you recommend next? Session-based recommendation engine in Python, part 1
Recommend movies that user should watch next...
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....
Data Science: The four (and a half) metrics to understand your model
Forecast Bias, Mean Absolute Error, Mean Squared Error and Root of it, Symmetric Mean Absolute Percentage Error: use them and be sure that you produce the best models...
Toolbox: K-means algorithm
K-means clustering class for local experiments...
Spatial Interpolation 101: Interpolation in Three Dimensions with Python and IDW algorithm. The Mercury Concentration in Mediterranean Sea.
Move from the 2D interpolation into the 3D interpolation with the Inverse Distance Weighting algorithm....
Data Science: Text Matching with Python and fuzzywuzzy
Sentence matching in Python....
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