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.
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.
@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 .