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How to Build and Run a Neural Network with TensorFlow and Panda – Complete Tutorial

In this tutorial, I walk you through building and running a simple neural network using TensorFlow for binary classification. Whether you're new to machine learning or just starting with TensorFlow, this guide is perfect for you! We'll cover everything from setting up your environment, loading a dataset, and splitting it into training and testing sets, to building and training your neural network. Finally, we’ll evaluate the model and make predictions. By the end, you'll have a working model and understand how to create your own neural network projects! Key Takeaways: Set up Python and TensorFlow for machine learning Learn how to split and normalize datasets Build and train a neural network for binary classification Evaluate model performance and make predictions https://github.com/cholakovit/customer_pur...