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.
📘 What You’ll Learn: 💡 Core ML Terminologies: Understand what features, labels, and datasets mean and how they shape model development. 📈 Data Preprocessing: Learn about data cleaning, normalization, and scaling for better accuracy. 📊 Feature Engineering & Data Splits: Explore how data is transformed and divided into training, validation, and test sets. 🔍 Real-World Applications: Discover how these terms come alive in real industry projects.
🎯 Why Learn with Imarticus Learning? ✅ Expert mentorship from seasoned industry professionals ✅ Structured, flexible learning formats ✅ Comprehensive study materials and mock tests ✅ 100% Job-Assured Programs with 2,000+ hiring partners
💼 Postgraduate Program in Data Science and Analytics (PGA) 📅 Duration: 6 months | 🎓 Eligibility: Graduates & Early Professionals ⭐ 300+ Learning Hours | 25+ Projects | 10+ Tools (Python, Power BI, Tableau) 💰 Highest Salary: 22.5 LPA | Avg Salary Hike: 52%
This program equips you with practical experience and real-world exposure to launch a successful career in AI and Data Science.
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