Principal Component Analysis (PCA) easy explanation | machine learning tutorial (urdu/hindi) скачать в хорошем качестве

Principal Component Analysis (PCA) easy explanation | machine learning tutorial (urdu/hindi)

Ever wondered how to simplify complex data while keeping the most important information? 🤔 In this video, I explain Principal Component Analysis (PCA) using fun, easy-to-understand examples! 🎉 ✅ What is PCA? ✅ Why do we need it in Machine Learning? ✅ Step-by-step breakdown with intuitive examples ✅ How to interpret PCA results in Python By the end of this video, you'll master PCA and know how to apply it in real-world machine learning tasks. 🚀 Don't forget to like, share, and subscribe for more AI and data science content! 🔥 SVM explained:    • Support Vector Machine (SVM) easy Explaine...   logistic regression :    • Logistic Regression in Python | Simply exp...   Multiple Linear Regression in Python in (Hindi/Urdu) | machine learning tutorial:    • Multiple Linear Regression in Python in (H...   Simple Linear Regression with Python:    • Simple Linear Regression with Python: Pred...   GPT-4o in VS Code! | GitHub Copilot Se Smart Coding Karo!:    • GPT-4o in VS Code! | GitHub Copilot Se Sma...   what is machine learning :    • what is machine learning | machine learnin...   Telegram: https://t.me/+3HnKMCCCFMY3ZWY1 email: drmfaizali@gmail.com #PCA #MachineLearning #DataScience #DimensionalityReduction #AI