bit.ly/3Ff5Esb Welcome to Imarticus Learning! Principal Component Analysis (PCA) is a powerful dimensionality reduction technique used in Machine Learning and Data Science to simplify complex datasets while preserving important information. In this video, we break down how PCA works, why it's used, and how it enhances model performance. 📊 Whether you're dealing with high-dimensional data or looking to improve your visualizations and predictions-this video is your guide to mastering PCA! Timestamp ⏱️ 00:00 - Intro 00:22 - What is Principal Component Analysis? 📌 What You'll Learn: 💡 What is PCA? – The concept behind dimensionality reduction. 📊 How PCA Works – Eigenvalues, eigenvectors, and principal components explained. 📈 Applications of PCA – When and why to use it in your ML pipeline. 🧠 Benefits & Limitations – Know when PCA helps-and when it doesn't. Why Learn with Imarticus Learning? 📌 Expert Guidance: Learn from seasoned professionals with deep industry insights. 📌 Flexible Learning Options: Balance work and study with structured, customizable programs. 📌 Comprehensive Support: Access mock tests, expert mentorship, and study materials to ace your exams. 📌 Career Success: Imarticus ensures your journey translates into tangible career growth. From Data to Decisions – Master ML & Supercharge Your Career! The Postgraduate Program in Data Science and Analytics (PGA) is a 6-month course for graduates and professionals with under three years of experience. It offers 100% job assurance through 2,000+ hiring par0tners, 300+ learning hours, 25+ hands-on projects, and training in 10+ tools like Python, Power BI, and Tableau. With a 22.5 LPA highest salary and 52% average salary hikes, it equips learners to excel in data science and analytics careers. bit.ly/3Ff5Esb 📖 Books to Read on PCA & Dimensionality Reduction: 📚 The Elements of Statistical Learning – Hastie, Tibshirani & Friedman 📚 Pattern Recognition and Machine Learning – Christopher Bishop 📚 Applied Multivariate Statistical Analysis – Richard Johnson & Dean Wichern 🎬 Movies & Documentaries to Watch: 🎥 Hidden Figures – Turning complex data into decisions. 🎥 The Great Hack – Understanding massive datasets and insights. 🎥 Coded Bias – The importance of data accuracy in AI systems. About Imarticus Learning Imarticus Learning is a leading education company, offering high-quality, industry-specific education via innovative technology, specialised training, career assistance, and mentorship from industry professionals. We have impacted over 10,00,000+ careers within a decade through leading-edge curriculums, highly experienced faculty, and over 3500+ global partnerships with leading institutions and corporations. We offer courses that prepare learners for successful careers in finance, banking, data science, analytics, management, marketing, and technology. ❇️ Key Highlights 12 Years Legacy | 1M+ Learners Impacted | #1 Education Provider in Finance | 8+ Years Legacy in Data Analytics | 85% Placement Record | 54% Average Salary Hike | 24 LPA Highest Salary 🏆 Awards & Accolades • Outstanding Education Company of the Year by ET Business Leaders 2024 • Best Education Provider in Finance by Elets World Education Summit 2024 • Outstanding Education Company for Data Science and Analytics at Observe Now's Education Leaders Conclave & Awards 2024 • Recognized in GSV 150 as one of the World's Most Transformational Growth Companies in Digital Learning and Workforce Skilling (2024) • Awarded Innovative 21st Century Skills Solutions at Elets World Education Summit, Dubai • Best Certification Courses at the Indian Education Congress and Awards • Most Promising Digital Learning Platform Brands by siliconindia Magazine • Best Education Brand in Analytics by The Economic Times 🌐We're Very Social imarticus.org/ x.com/imarticus www.instagram.com/imarticus in.linkedin.com/company/imarticuslearning www.facebook.com/ImarticusLearning/ #PCA #PrincipalComponentAnalysis #DimensionalityReduction #MachineLearning #DataScience #MLTechniques #FeatureEngineering #AnalyticsCareer #ImarticusLearning #PGAProgram #BigDataInsights #CareerInDataScience