Yabo Gao·Oct 14We’re More Alike Than You Think: Baking Cookies and Data EngineeringThis summer, I decided to learn how to bake cookies.
InData Science CollectivebyAliakbar Hosseinzadeh·Oct 8Data Engineering Is More Than ETL: What Exploratory Data Analysis Taught Me About Data QualityFrom missing values and outliers to trustworthy pipelines: practical lessons in EDA, and statistics.A response icon1A response icon1
Tapix by Dateio·Oct 2Data cleansing vs Data enrichment: Why your bank needs bothYou want to build a subscription manager, a spending overview, or an affordability model, and the transaction feed hands you a terminal…
Kateryna Rudenko·Sep 10The iPhone storage cleanup routine I use when my phone runs out of spaceFew iPhone alerts get my attention quite as quickly as “Storage Almost Full.”
Cahya Julian·Aug 30Membangun Pipeline Data Cleaning untuk Dataset Otomotif dengan PythonDari data mentah yang berantakan menjadi dataset siap pakai untuk machine learning
Ika Puspita Dewi·Aug 9Seni Menangani Data yang Hilang (Missing Values): Tantangan dan SolusinyaPhoto by Tanja Tepavac on Unsplash
Sudenazgenc·Aug 7Modellere Fısıldayan Sanat: Keşifçi Veri Analizi ve Veri Temizleme Rehberi“Veri ham bir madendir; işlemeden, toprağından ayırmadan onunla sağlam bir yapı kuramazsınız.”
Samyukta Roy·Jun 22Data Cleansing at Scale: Why Dirty Data Costs Enterprises MillionsA sales team closes a deal. Finance tries to invoice the client and finds three different versions of the company name across four systems…
Sneha Mehra·May 20Data Quality Management That Ensures Reliable AI OutputsData Quality Management has become one of the most important operational priorities for organizations investing in AI, analytics…
