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Warming up the neural circuits...

Module

Python Mastery — Zero to AI

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65 / 8874%

1Course Roadmap

1Chapter 1 — Jupyter & Notebook Workflows 2Chapter 2 — numpy Fundamentals 3Chapter 3 — pandas DataFrames 4Chapter 4 — Data Cleaning & Transformation 5Chapter 5 — Visualization — matplotlib & seaborn 6Chapter 6 — scikit-learn Fundamentals 6BChapter 6B — Feature Engineering and Preprocessing Pipeline Design 7Chapter 7 — Model Evaluation & Tuning 8Chapter 8 — LLM APIs & Prompt Engineering 8BChapter 8B — Structured Output, Tool Calling, and LLM Guardrails 9Chapter 9 — LangChain & RAG 10Chapter 10 — Vector Databases & Embeddings 10BChapter 10B — Hybrid Retrieval, Reranking, and Vector Operations 11Chapter 11 — AI in Production 11BChapter 11B — AI Evaluation, Incident Response, and Governance 12Chapter 12 — MLOps Basics P4Project P4 — RAG Support Copilot

Unit 6BAdvanced45 minNeeds:Chapter 6 — scikit-learn Fundamentals

Chapter 6B — Feature Engineering and Preprocessing Pipeline Design

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Chapter 6 — scikit-learn Fundamentals

Chapter 7 — Model Evaluation & Tuning