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Intro to machine learning

Project · study · 2024

Intro to machine learning collects notebooks from a machine-learning course, focused on preparing data before training. Each Jupyter notebooks notebook covers one preprocessing technique in Python:

  • filling in missing values (imputation);
  • one-hot encoding and label encoding of categories;
  • normalisation and standardisation of numbers;
  • discretisation, turning numbers into bins.

See also

In the knowledge graph

Intro to machine learning and the 7 things it is linked to. Open any dot for its page, or explore it in the full graph.

When
2023202420252026
Dec 2024 · 8 commits

As data

Everything on this page is read from triples in the knowledge graph. These are the 20 it states about Intro to machine learning, and 2 more its ontology implies; the console runs SPARQL over the whole graph, here in your browser.

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@prefix id: <https://ask.chaipat.cc/id/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix cj: <https://ask.chaipat.cc/ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

id:IntroML
    a cj:Project ;
    rdfs:label "Intro to machine learning" ;
    cj:description "Machine-learning course notebooks and preprocessing." ;
    cj:context id:OpenSource ;
    cj:repository "https://github.com/AppleBoiy/intro-to-machine-learning"^^xsd:anyURI ;
    cj:firstCommit "2024-12-09"^^xsd:date ;
    cj:lastCommit "2024-12-10"^^xsd:date ;
    cj:commitCount 8 ;
    cj:kind "study" ;
    cj:license "MIT" ;
    cj:theme id:ThemeML ;
    cj:uses id:Python , id:Jupyter , id:MachineLearning ;
    cj:tier 3 ;
    cj:implements id:DataPreprocessing ;
    cj:mentions id:TextPreprocessing ;
    cj:article "https://ask.chaipat.cc/wiki/IntroML"^^xsd:anyURI ;
    cj:activeIn id:Y2024 ;
    cj:activity _:b84 .