Understanding Key Data Terminologies in Machine Learning | Imarticus Learning

Understanding Key Data Terminologies in Machine Learning | Imarticus Learning

Welcome to Imarticus Learning! 🚀br br In this video, we simplify the essential data terminologies that form the foundation of Machine Learning. Whether you’re just starting your journey or upskilling as a professional, mastering these core concepts is key to building high-performing ML models and becoming a confident data expert.br br 📘 What You’ll Learn:br 💡 Core ML Terminologies: Understand what features, labels, and datasets mean and how they shape model development.br 📈 Data Preprocessing: Learn about data cleaning, normalization, and scaling for better accuracy.br 📊 Feature Engineering & Data Splits: Explore how data is transformed and divided into training, validation, and test sets.br 🔍 Real-World Applications: Discover how these terms come alive in real industry projects.br br 🎯 Why Learn with Imarticus Learning?br ✅ Expert mentorship from seasoned industry professionalsbr ✅ Structured, flexible learning formatsbr ✅ Comprehensive study materials and mock testsbr ✅ 100 Job-Assured Programs with 2,000+ hiring partnersbr br 💼 Postgraduate Program in Data Science and Analytics (PGA)br 📅 Duration: 6 months | 🎓 Eligibility: Graduates & Early Professionalsbr ⭐ 300+ Learning Hours | 25+ Projects | 10+ Tools (Python, Power BI, Tableau)br 💰 Highest Salary: 22.5 LPA | Avg Salary Hike: 52br br This program equips you with practical experience and real-world exposure to launch a successful career in AI and Data Science.


User: Shivam

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Uploaded: 2025-10-31

Duration: 16:14