🚀 Summer Analytics 2025 – IIT Guwahati

UnOfficial Repository for Summer Analytics 2025 by IIT Guwahati

🧠 A curated collection of assignments, projects, and resources from one of India's premier Data Science programs.

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🌟 Why Star This Repo?

This isn't just another coursework repo. It's 4+ weeks of grind, Kaggle hackathons, hands-on ML, and IIT-level mentorship.
🔥 If you learn something or find it useful, please consider leaving a ⭐ — it means a lot!

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📌 Program Overview

Summer Analytics 2025 by IIT Guwahati is a structured training program focusing on foundational and intermediate data science skills:

• 🐍 Python for Data Science
• 📊 Statistical Analysis
• 🤖 ML Fundamentals
• 📈 Data Visualization
• 💼 Real-world Case Studies & Hackathons

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🏅 Key Achievements

Hackathon	Leaderboard	Proof
🥈 Summer Analytics First Hackathon (Week 2)	Top 2% - Final Leaderboard
🥇 Nutrition Health Survey - Age Prediction (Week 4)	Top 1% - Final Submission

📢 These hackathons were hosted on Kaggle under the official IITG SA2025 banner.

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📂 Repository Structure

IITG-Summer-Analytics-2025/
│
├── Assignments/
│   ├── Week1-Cars-Analysis/
│   ├── Week2-Summer-Analytics-Hackathon/
│   ├── Week2-Healthcare-Data/
│   ├── Week4-Age-Group-Ensemble-Classifier/
│   └── ...
│
├── Projects/
│   ├── Sales-Prediction/
│   └── Customer-Segmentation/
│
├── Resources/
│   ├── Cheatsheets/
│   └── Workshop-Notes/
│
└── Certificates/

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🛠️ Tech Stack

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🧪 Sample Projects

Project	Description	Tools Used
🚗 Automotive EDA	Exploratory analysis on car specs	Pandas, Seaborn
🏥 Healthcare Analytics	Patient data insights	Matplotlib, Plotly
🛒 Retail Forecasting	Time-series prediction of sales	Scikit-learn, Statsmodels

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📚 Learning Resources

• 📘 Python Data Science Handbook
• 📂 IITG SA2025 Official Materials
• 📝 My Workshop Notes
• 📌 Cheatsheets

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🤝 Want to Contribute?

1. Fork the repo
2. Create a branch (git checkout -b feature/improvement)
3. Commit your changes (git commit -m 'Add new insights')
4. Push it (git push origin feature/improvement)
5. Open a Pull Request 🚀

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📬 Let’s Connect

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⭐ Don't forget to star this repo if you find it helpful. Let's grow together in Data Science! 🚀

Made with ❤️ and a lot of Pandas & Caffeine