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Tag: datascience

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Tips And Tricks
How to Deal with Too Many 'object' in Pandas from JSON Parsing
_ Ilaria Petreti

How to Deal with Too Many ‘object’ in Pandas from JSON Parsing

We propose and test a way to manage categorical data during the collection and store it directly as numeric types in the JSON.

READ MORE ♥15
Tips And Tricks
_ Ilaria Petreti

How to manage large JSON efficiently and quickly: multiple files

Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application

READ MORE ♥49
Tips And Tricks
_ Ilaria Petreti

How to manage a large JSON file efficiently and quickly

Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application

READ MORE ♥69
Learning To Rank Tips And Tricks
constant features learning to rank
_ Ilaria Petreti

Drop Constant Features: a Real-world Learning To Rank Scenario

Does removing constant features affect model performance? Find out with our real-world Learning to Rank application

READ MORE ♥68
Learning To Rank Main Blog
A Learning to Rank Project on a Daily Song Ranking Problem - Sease
_ Ilaria Petreti

A Learning to Rank Project on a Daily Song Ranking Problem – Part 4

Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations

READ MORE ♥60
Learning To Rank Main Blog
_ Ilaria Petreti

A Learning to Rank Project on a Daily Song Ranking Problem – Part 3

This blog post aims to illustrate how to generate the query Id and how to manage the creation of the Training Set

READ MORE ♥63
Learning To Rank Main Blog
Explaining Learning to Rank Models with Tree Shap
_ Anna Ruggero

Explaining Learning to Rank Models with Tree Shap

Explainability and Interpretability of Learning To Rank models are vital in Information Retrieval, in this blog we present Tree SHAP.

READ MORE ♥80
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