LOGISTIC REGRESSION Concept in Machine Learning

LOGISTIC REGRESSION Concept in Machine Learning

Welcome to Imarticus Learning!br 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.br br 🎯 Why Watch This Video?br 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.br br 📌 What You’ll Learn:br br 💡 What is Logistic Regression? – The algorithm and its mathematical intuition.br 📊 Logistic vs Linear Regression – Key differences and practical use cases.br 📈 Sigmoid Function Explained – How probabilities become classifications.br 🧠 Model Evaluation – Understanding Accuracy, Precision, Recall, F1-Score, and ROC-AUC.br br 💼 Why Learn with Imarticus Learning?br br 📌 Expert Faculty: Learn from industry professionals with years of experience.br 📌 Flexible Learning: Structured programs designed for working professionals.br 📌 Comprehensive Support: Access to study materials, mock tests, and mentorship.br 📌 Career Outcomes: 100 job assurance with real-world projects and placement support.br br 🚀 Transform Your Career with Data Science!br Join the Postgraduate Program in Data Science and Analytics (PGA)— a 6-month, job-assured course designed for graduates and early professionals.br Gain hands-on experience through 25+ projects, 300+ learning hours, and 10+ tools like Python, Power BI, and Tableau.br br 💰 Highest Salary: 22.5 LPA | Average Salary Hike: 52 | 2,000+ Hiring Partners.


User: Shivam

Views: 0

Uploaded: 2025-11-03

Duration: 18:52