Module 2 Study Guide

This is a static mobile-first study guide for Module 2. It is maintained as Markdown and rendered with MkDocs Material.

Vertical slice

• SQL vs Pandas
• Interfacing Python and MySQL
• Interfacing Python and MongoDB
• Modern Data Management 2
• Dimensionality Reduction
• Association Rule Mining
• Sentiment Analysis
• Cluster Analysis
• How Neural Networks Learn
• Implementing a Multi-Layer NN
• Introduction to PyTorch
• Working with Text
• Attention Mechanisms
• Implementing a GPT Model
• Pretraining on Unlabeled Data
• Spam Classification Finetuning
• Instruction Finetuning
• Reasoning, RAG, and Agents
• Generating Text with a Pre-Trained LLM
• Evaluating Reasoning Models
• Improving Reasoning with Inference-Time Scaling

Study shape

Each lesson is a guided rewrite with fidelity anchors: friendlier explanations, simpler teaching examples where helpful, and traceability back to the original source material.