feat: initial FDP content - Data Science Pipeline with Colab notebook

README.md

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+# FDP - Data Science Pipeline: End-to-End Workflow
+
+**Topic:** Data Science Pipeline | **Host:** Jodhpur Institute of Engineering & Technology (JIET)
+
+## 📂 Contents
+
+| File | Description |
+|------|-------------|
+| `fdp-colab-content/student_stress_data.csv` | Synthetic dataset of 300 student records for stress level prediction |
+| `fdp-colab-content/FDP_Student_Stress_Prediction.ipynb` | Google Colab notebook — zero setup required |
+| `fdp-colab-content/FDP_PreRead_StudentStress.pdf` | Pre-read material for FDP attendees |
+| `fdp-colab-content/generate_dataset.py` | Dataset generator script |
+| `fdp-colab-content/pre_read.html` | Pre-read material source (HTML) |
+
+## 🎯 Dataset Overview
+
+**300 student records × 8 columns**
+- **Target:** `Stress_Level` (0 = Not Stressed, 1 = Stressed)
+- **Features:** Department, Attendance_Level, Favorite_Color, Weekly_Study_Hours, Assignment_Submission_Pct, Backlogs_Count
+
+## 🚀 Using the Colab Notebook
+
+1. Open the notebook in [Google Colab](https://colab.research.google.com/)
+2. Run all cells — no installation needed
+3. Dataset auto-loads from raw GitHub URL
+
+## 📊 Pipeline Steps
+
+1. Data Loading
+2. Exploratory Data Analysis
+3. One-Hot Encoding (Department, Attendance_Level, Favorite_Color)
+4. Random Forest Classification
+5. Model Evaluation
+6. Feature Importance Visualization
+
+---
+
+*Part of Gyannetra's FDP workshop series*