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Nivesh Bansal
Nivesh Bansal

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Complete Seaborn Tutorial (Day 01 & Day 02) — Master Data Visualization with Python, Data Analytics, AI & Machine Learning

Data visualization is one of the most powerful skills for Data Science, Machine Learning, AI, and Analytics.
I recently created a complete Seaborn tutorial with full source code covering almost all major plots in Python. Whether you are a student, developer, or data enthusiast, this guide will help you understand Seaborn from scratch with step-by-step examples.

👉 Full GitHub Repository (Day 01 & Day 02 Source Code):
🔗 Repo - All Source Code


Topics Covered in This Seaborn Tutorial

✅ Scatter Plots
✅ Line Plots
✅ Bar Plots
✅ Box Plots
✅ Violin Plots
✅ Distribution Plots
✅ Pair Plots
✅ Heatmaps
✅ Categorical Plots
✅ Advanced Styling & Themes


Why Learn Seaborn?

Seaborn is a Python data visualization library built on top of Matplotlib, making it simple to create beautiful, statistical, and publication-ready plots.
It is widely used in Data Analytics, Machine Learning, and AI projects for:

  • Exploring datasets 📊
  • Identifying hidden patterns 🔍
  • Improving model insights 🤖
  • Making reports more professional 📑

Who Should Read This Post?

This project is perfect for:

  • Data Science Students learning visualization
  • Machine Learning Beginners exploring datasets
  • Python Developers building projects
  • AI & Analytics Enthusiasts wanting better insights

Why This Repository Stands Out

  • Covers all basic to advanced plots in Seaborn
  • Organized into Day 01 & Day 02 lessons
  • Fully documented Python source code
  • Beginner-friendly but useful for professionals too

GitHub Repository

🔗 Repo - All Source Code
⭐ Don’t forget to star the repo and share your feedback!


Final Thoughts

Data visualization is not just about making graphs — it’s about telling a story with data.
With this Seaborn tutorial, you’ll gain the confidence to explore datasets visually and enhance your Data Science, AI, and Machine Learning journey.

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