Exp-02 VTU 6th Sem CSE | Correlation Matrix & Heatmap using California Housing DS | Python Project

🎓 Learn how to compute and visualize the Correlation Matrix, Heatmap, and Pairplot using the California Housing Dataset in Python. This is a complete guide for VTU 6th Semester CSE students to understand feature relationships in datasets using Seaborn and Pandas. 🚀 What You’ll Learn in This Video: ✅ Load and explore the California Housing dataset ✅ Generate Correlation Matrix using Pandas ✅ Visualize with Heatmap (Seaborn) ✅ Create Pairplot for feature relationship analysis ✅ Step-by-step explanation with code 📚 Ideal For: VTU 6th Sem CSE Students Python & Data Science Beginners Machine Learning Lab Preparation Project & Viva Support 🧠 Build your understanding of feature correlation and visualization – a key concept in data science! 👍 Like | 💬 Comment | 🔔 Subscribe for more VTU experiments and Machine Learning projects! #VTU6thSem #CSEProjects #MachineLearningLab #PythonProject #CaliforniaHousing #CorrelationMatrix #Heatmap #Pairplot #DataScience #Seaborn #Pandas #VTUCSE #Experiment2