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

Principal Component Analysis (PCA) python implementation | machine learning tutorial (urdu/hindi)

Want to understand Principal Component Analysis (PCA) in action? 🚀 In this video, I implement PCA using Python on the famous Digits dataset inside VS Code while explaining each step in a simple and intuitive way! 🧑‍💻 📌 What you'll learn: ✅ What is PCA & why is it useful? ✅ Step-by-step PCA implementation in Python ✅ Visualizing high-dimensional data in 2D ✅ Understanding explained_variance_ratio_ and selecting components 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...   PCA1 theoretical:    • Principal Component Analysis (PCA) easy ex...   code: https://github.com/mudassar266/python... Telegram: https://t.me/+3HnKMCCCFMY3ZWY1 email: drmfaizali@gmail.com By the end of this tutorial, you'll be able to apply PCA confidently to reduce dimensions in any dataset! Don't forget to like, subscribe, and hit the bell icon for more ML tutorials! 🔔 #PCA #Python #MachineLearning #DigitsDataset #VSCode #DataScience