📖 Table of Contents¶

🛒 What is Association Rule Mining?
📌 Use Cases

📦 Data Setup

🧾 Load Dataset
🧹 Preprocessing / Transaction Formatting
🧮 Frequency Encoding (Optional)

📊 Exploratory Data Analysis

📈 Item Frequency Plot
📉 Itemset Statistics

🧰 Apriori Algorithm

⚙️ Setup Parameters
📜 Generate Frequent Itemsets
🔗 Build Association Rules

🧪 Rule Evaluation

📏 Support, Confidence, Lift
📐 Conviction, Leverage (Bonus)
📋 Top Rules by Metric

🧠 Interpretation

🧭 Business Context for Rules
📉 Redundant Rules / Filtering

📊 Visualizations

🧱 Heatmaps, Matrix
🕸 Network Graphs
📊 Bar Chart of Top Rules

📌 Final Summary

✅ Key Learnings
💼 Implications for Stakeholders

❓ FAQ / Notes

🧯 Pitfalls in Rule Mining
🧬 When to use Apriori vs ECLAT / FP-Growth

🧭 Objective¶

🛒 What is Association Rule Mining?¶

📌 Use Cases¶

Back to the top ___

📦 Data Setup¶

🧾 Load Dataset¶

🧹 Preprocessing / Transaction Formatting¶

🧮 Frequency Encoding (Optional)¶

Back to the top ___

📊 Exploratory Data Analysis¶

📈 Item Frequency Plot¶

📉 Itemset Statistics¶

Back to the top ___

🧰 Apriori Algorithm¶

⚙️ Setup Parameters¶

📜 Generate Frequent Itemsets¶

🔗 Build Association Rules¶

Back to the top ___

🧪 Rule Evaluation¶

📏 Support, Confidence, Lift¶

📐 Conviction, Leverage (Bonus)¶

📋 Top Rules by Metric¶

Back to the top ___

🧠 Interpretation¶

🧭 Business Context for Rules¶

📉 Redundant Rules / Filtering¶

Back to the top ___

📊 Visualizations¶

🧱 Heatmaps, Matrix¶

🕸 Network Graphs¶

📊 Bar Chart of Top Rules¶

Back to the top ___

📌 Final Summary¶

✅ Key Learnings¶

💼 Implications for Stakeholders¶

Back to the top ___

❓ FAQ / Notes¶

🧯 Pitfalls in Rule Mining¶

🧬 When to use Apriori vs ECLAT / FP-Growth¶

Back to the top ___