Why Feature Engineering #shorts #youtube #reel #datascience #dataanalysis #code

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Shared February 14, 2026

Why Feature Engineering #shorts #youtube #reel #datascience #dataanalysis #code #FeatureEngineering #MachineLearning #DataScience #AgenticAI #GenAI #DataAnalysis #TechJroshan #Informations #AI #ML #DataAnalysis #Python #Statistics #CareerInDataScience #100DaysOfML 🚀 𝑾𝒉𝒚 𝑭𝒆𝒂𝒕𝒖𝒓𝒆 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈 𝒊𝒔 𝑺𝑼𝑷𝑬𝑹 𝑰𝑴𝑷𝑶𝑹𝑻𝑨𝑵𝑻 𝒊𝒏 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈? 💡 “Better features beat better models.” You can use XGBoost, Random Forest, or even Deep Learning… 𝗜𝗳 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗮𝗿𝗲 𝘄𝗲𝗮𝗸, 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘄𝗲𝗮𝗸. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 = Transforming raw data into meaningful inputs that ML models can understand. 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 Model accuracy is low Overfitting / underfitting issues Complex models fail Business impact ❌ ✅ 𝙒𝙞𝙩𝙝 𝙁𝙚𝙖𝙩𝙪𝙧𝙚 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜 Higher accuracy 📈 Simpler models perform better Faster training Real-world patterns captured Real-Life Example Date = 2026-02-10 Engineered features: Day Month Year DayOfWeek IsWeekend 👉 Same data, more intelligence. 🧠 Feature Engineering Techniques If you need Completed Features Engineering Technique please comment 💬 YES Industry Truth 1. Data Scientist spends ~70% time on Feature Engineering 2.Model building is just 3