Welcome to Imarticus Learning! Logistic Regression is a foundational classification algorithm in Machine Learning, used to predict binary and multi-class outcomes. In this video, we explore how Logistic Regression works, how it differs from Linear Regression, and its role in real-world decision-making.
🎯 Why Watch This Video? Whether you’re new to Data Science or brushing up your skills, this session breaks down Logistic Regression in a clear, intuitive way — helping you build strong foundations in predictive modeling.
📌 What You’ll Learn:
💡 What is Logistic Regression? – The algorithm and its mathematical intuition. 📊 Logistic vs Linear Regression – Key differences and practical use cases. 📈 Sigmoid Function Explained – How probabilities become classifications. 🧠 Model Evaluation – Understanding Accuracy, Precision, Recall, F1-Score, and ROC-AUC.
💼 Why Learn with Imarticus Learning?
📌 Expert Faculty: Learn from industry professionals with years of experience. 📌 Flexible Learning: Structured programs designed for working professionals. 📌 Comprehensive Support: Access to study materials, mock tests, and mentorship. 📌 Career Outcomes: 100% job assurance with real-world projects and placement support.
🚀 Transform Your Career with Data Science! Join the Postgraduate Program in Data Science and Analytics (PGA)— a 6-month, job-assured course designed for graduates and early professionals. Gain hands-on experience through 25+ projects, 300+ learning hours, and 10+ tools like Python, Power BI, and Tableau.
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