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18 Writing Your Own Functions??? BANA 4080: Introduction to Data Mining with Python
2+ day, 20+ hour ago (1773+ words) Have you ever found yourself repeating the same lines of code again and again? What if you could bundle up those repeated actions and give them a name—something you could reuse whenever needed? This is what functions let you…...
Module 2: Python Data Science Ecosystem – BANA 4080: Introduction to Data Mining with Python
3+ day, 3+ hour ago (119+ words) bradleyboehmke.github.io This module covers the tools and structures at the heart of Python data science: Jupyter notebooks as your working environment, Python’s built-in data structures, and the package ecosystem that powers everything else. By the end of Week…...
Module 6: Creating Efficient Code??? BANA 4080: Introduction to Data Mining with Python
2+ day, 20+ hour ago (100+ words) Module 6: Creating Efficient Code – BANA 4080: Introduction to Data Mining with Python bradleyboehmke.github.io This module covers the programming skills that turn one-off scripts into reusable, maintainable workflows. You’ll learn to control program flow with conditions and loops, and to…...
41 Module 8 Cheat Sheet??? BANA 4080: Introduction to Data Mining with Python
2+ day, 20+ hour ago (207+ words) Key concepts, definitions, and code from Chapters 19–20 A quick-reference summary of the essential ideas from Module 8. Click any section heading to jump to the full coverage in the book. Artificial Intelligence (AI) is the broad goal of making machines perform…...
38 Module 4 Cheat Sheet??? BANA 4080: Introduction to Data Mining with Python
2+ day, 20+ hour ago (126+ words) Key concepts, definitions, and code from Chapters 10–12 A quick-reference summary of the essential ideas from Module 4. Click any section heading to jump to the full coverage in the book. Summary functions collapse a column (or DataFrame) into one or more…...
44 Module 11 Cheat Sheet??? BANA 4080: Introduction to Data Mining with Python
2+ day, 20+ hour ago (200+ words) Key concepts, definitions, and code from Chapters 25–27 A quick-reference summary of the essential ideas from Module 11. Click any section heading to jump to the full coverage in the book. A decision tree predicts by asking a sequence of yes/no…...
4 Getting Started with Jupyter Notebooks??? BANA 4080: Introduction to Data Mining with Python
3+ day, 25+ min ago (1426+ words) In data science, we don’t just write code — we tell stories with data. Jupyter notebooks are an essential tool because they allow us to blend code, explanatory text, and visualizations in a single document. This makes it easier to understand,…...