Microsoft: Prepare data for ML.NET Microsoft: Train and evaluate an ML.NET model http://ML.NET TrainTestSplit API

1. Can the same entity appear in multiple subsets?2. Does the split preserve real production

DAY 4 — TRAINING, VALIDATION AND TEST DATA Training dataset:Used to: Validation dataset:Used to: Test

AI project canvas DAY 3 — AI/ML PROJECT DEFINITION Project name: 1. Business problem: 2.

Because the model must improve a real decision and measurable business outcome. The entity or

Part A: Classify the columns For the policy-renewal problem, mark each column as: Identifier Feature

You have completed the conceptual boundary between: Human-written rules Learned predictions Neural-network-based learning Generated content

Microsoft Learn: Introduction to AI concepts Microsoft Learn: AI, machine learning and deep learning basics

For every future concept, record: Definition: What is it? Purpose: Why do we need it?

DAY 1 — AI, ML, DL AND GENERATIVE AI One-sentence understanding:AI is the broad field;