Beginner · 4 articles · MODULE 2: MACHINE LEARNING
Tutorial · Beginner · 21 min
Linear regression is the wrong tool for a yes/no outcome: it happily predicts probabilities of 1.4 or −0.3, which are nonsense.
Includes Colab notebook
By: Anacodic Team
Start Reading →Tutorial · Beginner · 21 min
Before you dare run a live A/B test, you replay your policy over historical data and compare it to a baseline (a simple, honest control).
By: Anacodic Team
Start Reading →Tutorial · Beginner · 14 min
When there's no exact answer to check against, a strong LLM can grade output pointwise or pairwise — scalable, but biased (position, verbosity, self-enhancement), so you must debias and calibrate it.
By: Anacodic Team
Start Reading →Tutorial · Beginner · 21 min
Accuracy is the wrong headline metric whenever one class is rare: a model that predicts the majority every time can outscore a useful one.
Includes Colab notebook
By: Anacodic Team
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