Udemy - Enterprise AI Agents - From Pilot to Production [TorrentX]

End-to-End Machine Learning: Business Problem to Production https://WebToolTip.com Published 10/2026 Created by Real Numbers MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 54 Lectures ( 1h 26m ) | Size: 302.6 MB One bank churn problem, from vague request to monitored production model. Python, scikit-learn, fully reproducible. What you'll learn ⚡ Turn a vague business request into a modelling problem: define the target, set the outcome window, and agree what success means before writing any code ⚡ Diagnose and repair a genuinely dirty extract - duplicates, impossible values, mixed date formats and missing data - in the order that does not corrupt the fix ⚡ Detect target, group and preparation leakage, and explain why a feature that lifts AUC to 0.991 has to be thrown away rather than shipped ⚡ Choose a metric and a decision threshold from the cost of each error, and show a sponsor the model's value in pounds against a do-nothing baseline ⚡ Build leak-proof scikit-learn pipelines with cross-validation and honest tuning, and know when a score improvement is smaller than the fold-to-fold noise ⚡ Hand a model to engineering with a real interface contract, then monitor it for concept drift that no distribution test will ever detect Requirements ❗ You can read Python and have used pandas a little. You do not need to be fluent, and every notebook runs top to bottom unmodified ❗ School-level algebra. No calculus and no linear algebra background is assumed anywhere ❗ A laptop that runs Python 3.10 or later. Everything is CPU-only - no GPU, no cloud account, no paid service ❗ No prior machine learning experience. The lifecycle, the vocabulary and the dataset are all built from scratch in the opening sections