📊 Logistic Regression in a Nutshell

🧠 Introduction:

Definition: Logistic Regression is a statistical method used for binary and multiclass classification in machine learning.

Objective: Predict the probability of an instance belonging to a specific class.

📈 Key Components:

Sigmoid Function (Logistic Function):

Role: Maps any real-valued number to the range [0, 1].

Decision Boundary:

Definition: Threshold determining class assignment.

Log Odds:

Calculation: Transformation of probability values.

💡 How It Works:

Step 1: Calculate the weighted sum of input features.

Step 2: Apply the sigmoid function …

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