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MSc Data Science Winter Semester Lab Works - VIT

Welcome to the repository for MSc Data Science Winter Semester Lab Works at VIT. This repository showcases my lab work and digital assessments from the Winter Semester. Explore hands-on projects in machine learning, statistical analysis, data visualization, and more.


📁 Directory Structure







📝 About Me

I'm Tufan Kundu, a Mathematics graduate pursuing an M.Sc. in Data Science at VIT Vellore. My passion for data science stems from solving real-world problems through code and insights. In this repository, you’ll see my journey of building machine learning models, crafting visualizations, and mastering statistical tools.

I'm passionate about:

  • 🧠 Solving real-world problems using data
  • 🖥️ Developing machine learning models
  • 📊 Creating impactful visualizations

Connect with me:


🛠️ Tools and Technologies

  • Python: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Statsmodels
  • R: Statistical analysis and visualization
  • Java: Algorithm implementation
  • Data Visualization: Power BI, Tableau, Excel
  • Jupyter Notebooks: Interactive coding and documentation

Python R Java


📚 Previous Year Question Papers

To support others on the same journey, I’ve shared previous year question papers from both the Fall and Winter semesters of the course. These can be helpful for revision, understanding exam patterns, or simply getting a sense of what to expect.

📄 Click here to access the question papers

Feel free to download and use them for academic purposes. Hope it helps!


⭐ Support the Effort

If you find this repository helpful or appreciate the work, please give it a ⭐! Your support motivates me to keep learning and sharing.

📢 Feedback

Have ideas for improvement or spot an issue? Feel free to open an issue or submit a pull request. I’m always eager to learn and collaborate!


About

This repository contains all lab work and digital assessments from the Winter Semester of my M.Sc. Data Science program at VIT Vellore. Projects span across machine learning, data mining, statistical inference, time series analysis, data visualization, and Java programming—implemented using tools like Python, R, Power BI, Tableau, Excel, and Java

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