📈 Understanding the Sigmoid Function – A Core Concept in Machine Learning

The Sigmoid function is a fundamental activation function that plays a crucial role in logistic regression and neural networks. It transforms inputs into probabilities — and is key for binary classification.

🧠 What This Blog Covers:
🔹 What is the Sigmoid Function?
🔹 Mathematical Formula & Graph
🔹 Use in Logistic Regression
🔹 Why It's Used in Neural Networks
🔹 Limitations & Alternatives (ReLU, Tanh)

🎯 Perfect For:
✔️ Data Science & Machine Learning Beginners
✔️ Final-Year Engineering Students
✔️ Those building classification models
✔️ Learners preparing for ML interviews

📚 Dive into the full blog:
👉 https://updategadh.com/data-science-tutorial/sigmoid-function/

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