Quick References

This section serves as a centralized library of high-utility resources for Python-based analytics and data science work. It includes:

• ✅ Workflow checklists for ensuring consistency and completeness across EDA, modeling, and evaluation phases.
• 📋 Decision cards that guide analysts through key strategic choices, from data preparation to algorithm selection.
• 🧭 Quick references designed for rapid look-up of transformations, validations, and model-specific considerations.

Use these resources to accelerate project startup, maintain methodological rigor, and support defensible, well-documented decisions throughout your analysis lifecycle.

📂 Section Links

• ✅ Workflow Checklists

• 📋 Decision Cards

  • 📋 Data Wrangling & EDA
  • 📋 Cleaning
  • 📋 Regression Modeling
  • 📋 Supervised ML
  • 📋 Unsupervised ML

• 🧭 Quick References

  • 🧭 Data Wrangling & EDA
  • 🧭 Cleaning
  • 🧭 Regression
  • 🧭 Supervised ML
  • 🧭 Clustering Models

🐍 Python Modules — QuickRef

python/01 - QuickRef/
  ├── 01 - Checklists/               ✅ Workflow checklists
  ├── 02 - Decision Cards/           📋 Tactical decision-making guides
  │   ├── 01 - Data Wrangling & EDA/       📋 Strategy cards for transformation, encoding, 
  │   ├── 02 - Cleaning/                   📋 Cleaning action and missingness handling
  │   ├── 03 - Regression Modeling/        📋 Linear & Logistic modeling choices
  │   ├── 04 - Supervised ML/               📋 Classifier selection and tuning
  │   └── 05 - Unsupervised ML/             📋 Clustering method selection
  └── 02 - Referece Guides/           🧭 Quick references
      ├── 01 - Data Wrangling & EDA/        🧭 Startup, transformation, validation guides
      ├── 02 - Cleaning/                    🧭 Cleaning utilities & logs
      ├── 03 - Regression/                  🧭 Linear, Logistic, Ordinal references
      ├── 04 - Supervised ML/                🧭 Classifier quick refs
      └── 05 - Clustering Models/            🧭 Clustering quick references