End Sem Q6: Handling Missing Values & Logistic Regression (Sigmoid Function)

End Sem Q6: Handling Missing Values & Logistic Regression (Sigmoid Function)

In this video, we solve Question 6. We explore strategies for handling incomplete data and explain the mathematics behind Logistic Regression. 📌 Topics Covered: Q6.a: Missing Values: Three approaches—Deletion, Central Tendency Imputation, and Prediction Models. Q6.b: Logistic Regression: Understanding binary classification and calculating probability using the Sigmoid Function equation.