Binary classification with TensorFlow: simple Tutorial for Beginners (example 2)

Welcome to our beginner-friendly tutorial on binary classification using TensorFlow! In this video, we'll guide you step-by-step through the process of building a basic binary classification model using the powerful TensorFlow framework.

🔥 TensorFlow is a popular open-source library for machine learning and deep learning that provides a flexible and intuitive interface to design, train, and deploy models. Binary classification is a fundamental task in machine learning, where we aim to predict one of two possible outcomes based on given inputs.

In this tutorial, we'll use a sample dataset and guide you through the essential steps of creating a binary classification model. We'll cover data loading and preprocessing, model architecture design, model compilation, training, evaluation, and making predictions.

No prior knowledge of TensorFlow is required for this tutorial. We'll start from scratch.

Code from today's video you will find below.

Github:
Colab: