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<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-c-software-data-engineering</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - C: Software &amp; Data Engineering</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/83440.xml" />
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<article-meta>
<article-id pub-id-type="publisher-id">83440</article-id>
<title-group>
<article-title>Market Basket Analysis using Machine Learning</article-title>
<subtitle>Market Basket Analysis Using Machine Learning</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Sharma</surname><given-names>Atul</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Hamidi</surname><given-names>Dr. Mohammad Salim</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>YousufÂ Hotak</surname><given-names></given-names></name></contrib>
</contrib-group>
<aff id="aff1">AFGHANISTAN, Jahan University</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-01-10">
<day>10</day>
<month>01</month>
<year>2025</year>
</pub-date>
<volume>24</volume>
<issue>C1</issue>
<fpage>15</fpage>
<lpage>20</lpage>
<abstract><p>Market Basket Analysis is a technique used to analyse the items which are most likely to be purchased together mostly in the retail and economic sector. This technique is especially beneficial for optimization purpose. In this research paper we have used the market basket dataset from the Kaggle repository. This database has been analysed for very well know topic Market Basket Analysis using Python language.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>market basket analysis</kwd>
<kwd>machine learning</kwd>
<kwd>python</kwd>
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<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume24/2-Market-Basket-Analysis.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/market-basket-analysis-using-machine-learning/" />
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<title>Full Text</title>
<p>Market Basket Analysis is a technique used to analyse the items which are most likely to be purchased together mostly in the retail and economic sector. This technique is especially beneficial for optimization purpose. In this research paper we have used the market basket dataset from the Kaggle repository. This database has been analysed for very well know topic Market Basket Analysis using Python language.</p>
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