Feature engineering is the process of transforming raw data into input variables (features) for machine learning models, for example through cleaning, aggregation and encoding.
Model prediksi churn yang gagal setelah 20 jam di laptop karena batas RAM bukan kasus langka – data bisnis sudah melampaui kemampuan perangkat lokal. Episode ini menunjukkan bagaimana notebook Microsoft Fabric membawa pelatihan langsung ke data Lakehouse:…
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Notebook Kelas Produksi: Pagar Pengaman dan Integrasi Git · Mirko Peters Selamat datang kembali di blog pendamping podcast! Dalam artikel ini, kita akan membahas secara mendalam cara melampaui skrip ad-hoc dengan memperlakukan notebook Fabric Anda seper
Accelerating Data Science Workflows with Azure Open Datasets · Mirko Peters Welcome back to the podcast companion blog! As data scientists and analytics engineers, we spend an astronomical amount of our valuable time tracking down, cleaning…
Production-Grade Notebooks: Guardrails and Git Integration · Mirko Peters Welcome back to the podcast companion blog! In this post, we are diving deep into how you can move beyond ad-hoc scripting by treating your Fabric notebooks like pr…
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