Spark MLlib & GraphX Explained

Hey everyone! 👋 Welcome back to Learn Tech with Hirdesh — where complex tech is made simple! In this video, I explain Spark ML Programming and Graph Analytics in a clear, beginner-friendly way — covering everything from Machine Learning basics to Spark's powerful GraphX engine! 🔥 📚 What You'll Learn: ✅ What is Machine Learning & its 3 main types ✅ Supervised, Unsupervised & Reinforcement Learning explained ✅ What is Spark MLlib & why it matters ✅ Key Spark ML concepts — DataFrames, Pipelines, Transformers & Estimators ✅ ML Algorithms — Classification, Regression, Clustering & Recommendations ✅ What is Spark GraphX & how it works ✅ Graph operations — PageRank, Connected Components & more ✅ When to use Spark ML vs GraphX 👉 Next: Coming Soon — Stay Tuned! 🔔 💬 Have questions? Ask in the comments — I reply to every one! 👍 LIKE if this helped you learn something new 📤 SHARE with your friends & fellow learners 🔔 SUBSCRIBE for more simplified tech content! #sparkmllib #graphx #machinelearning #apachespark #bigdata #dataengineering #sparkml #graphanalytics #learnspark #datascience #techtutorial #learntechwithhirdesh #pagerank #sparkgraphx #mlpipeline #growth #foryou #learning