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erenn560/VideoGameSalesClusteringAndSalesForecasting

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Bu modelde, Random Forest Regressor kullanarak yayıncılara göre yıllara göre küresel satış tahminleri yapılırken, K-Means kümeleme algoritmasıyla da oyun türlerine göre satışların kümeleme analizi gerçekleştirilmektedir. Ayrıca, eksik veri kontrolü, aykırı değer düzenleme ve yeni özellikler eklenmesi gibi veri ön işleme adımları da bulunmaktadır.

active 2024-01-03 → 2024-02-28 (UTC)

Complete coverage28,100 / 28,100 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-28 (UTC)
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1
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Line chart, 57 days from 2024-01-03 to 2024-02-28. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

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erenn5601100

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