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Just completed a deep dive into how neurons and layers in neural networks mirror linear and logistic regression and how TensorFlow simply automates the math we've already learned. I revisited core concepts from linear and logistic regression and saw

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🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

A next advance step towards ML model working flow by learning and demonstrating a simple Linear regression Algorithm. It's an exciting and fun step after learning and understanding practically the concepts of NumPy, Pandas , Matplotlib and Sklearn f

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