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Hello guys! 👋 In this video, I explain Logistic Regression Theory in a simple and practical way with clear intuition and real-world examples. If you want to understand how machine learning predicts YES/NO outcomes using probability, this lesson is perfect for you. This concept is widely used in business analytics and e-commerce, such as: ✔ Purchase probability prediction ✔ Sales conversion analysis ✔ Pricing and profit optimization models ✔ Demand forecasting ✔ Customer decision prediction I also connect the theory with real data science workflows using Python tools that are commonly used in e-commerce analytics and business prediction models. 📚 What you will learn: • What Logistic Regression is • Why we use the Sigmoid Function • Probability concept (0 to 1) • Binary Classification explained • Real-world business use case If you are learning data science for business, e-commerce analytics, or pricing strategy, this topic is essential. 👍 If you found this helpful, don’t forget to Like the video 📩 Subscribe for more Data Science and Business Analytics tutorials