Principal Component Analysis (PCA) in Machine Learning | Step-by-Step Implementation скачать в хорошем качестве

Principal Component Analysis (PCA) in Machine Learning | Step-by-Step Implementation

Want to understand Principal Component Analysis (PCA) in a simple and practical way? 👍 Like | 💬 Comment | 🔔 Subscribe for Machine Learning Videos In this video, we explain the PCA algorithm step by step, including: ✔ What is Principal Component Analysis ✔ Why PCA is used in Machine Learning ✔ Mean Normalization & Feature Scaling ✔ Covariance Matrix ✔ Eigenvectors and Singular Value Decomposition (SVD) ✔ How to Reduce Dimensions from n to k ✔ Mathematical intuition behind PCA ✔ PCA implementation approach 💬 Follow & Connect GitHub Repository:https://github.com/dr-mushtaq/Machine... Enroll Full Course: https://coursesteach.com/ Whatsapp Group:https://chat.whatsapp.com/L9URPRThBEa... #PCA #PrincipalComponentAnalysis #MachineLearning #DimensionalityReduction #DataScience #PCAAlgorithm #ArtificialIntelligence #SVD #MachineLearningTutorial #MLAlgorithms #DataScienceTutorial #DeepLearning #FeatureEngineering #AI #Statistics