suggested fixes to repo's README files

Author: CaesarGhazi

3_data_exploration/README.md

@@ -141,16 +141,6 @@ loads who may be struggling
 - **Feature importance**: `average_marks`, `num_resource_views`, and
   `total_events` are top predictors
 
-## 🚀 Next Steps
-
-The insights from this milestone inform **Milestone 4: Model Development &
-Evaluation** where we will:
-
-- Refine predictive models based on EDA insights
-- Implement advanced feature selection techniques
-- Develop comprehensive evaluation frameworks
-- Design intervention strategies based on predictive patterns
-
 ## 📖 How to Navigate This Work
 
 1. **Start with**: [`milestone3_key_findings.md`](milestone3_key_findings.md)
@@ -165,5 +155,5 @@ Evaluation** where we will:
 ---
 
 *This milestone represents the bridge between data preparation (Milestone 2) and
-advanced modeling (Milestone 4), providing crucial insights that guide our
+Communicating Results (Milestone 4), providing crucial insights that guide our
 research direction.*

notes/README.md

@@ -26,8 +26,8 @@ any milestone below to explore detailed documentation, processes, and outcomes:
 | 🎯 [**Milestone 1**](milestones/milestone_1/) | Domain Analysis | ✅ Complete |
 | 📊 [**Milestone 2**](milestones/milestone_2/) | Data Collection | ✅ Complete |
 | 🔍 [**Milestone 3**](milestones/milestone_3/) | Data Exploration | ✅ Complete |
-| 🤖 [**Milestone 4**](milestones/milestone_4/) | Model Dev | ⏳ Upcoming |
-| 📢 [**Milestone 5**](milestones/milestone_5/) | Communication | ⏳ Upcoming |
+| 🤖 [**Milestone 4**](milestones/milestone_4/) | Communication | ✅ Complete |
+| 📢 [**Milestone 5**](milestones/milestone_5/) | Final Presentation | ⏳ Upcoming |
 
 ### 📁 What You'll Find in Each Milestone
 

notes/milestones/milestone_3/README.md

@@ -82,7 +82,7 @@ Successfully demonstrated that **engagement metrics predict academic outcomes**:
 
 ### Foundation for Milestone 4
 
-This work establishes the groundwork for advanced model development:
+This work establishes the groundwork for communicating results:
 
 - **Baseline Performance**: Established for multiple ML approaches
 - **Feature Selection**: Identified most predictive engagement metrics
@@ -125,6 +125,6 @@ performance and course completion rates.
 
 ---
 
-*This milestone successfully bridges data preparation and advanced modeling,
+*This milestone successfully bridges data preparation and Communicating Results,
 providing crucial insights that guide our research direction and intervention
 strategy development.*