Learn to implement binary and multi-class classification using TensorFlow in this comprehensive 2-hour video tutorial. Master essential concepts including working with tensors, data preprocessing, model building, and evaluation. Explore topics such as downloading and cleaning data, finding ideal learning rates, creating correlation matrices, and performing neural network regressions. Gain hands-on experience in normalizing data, separating features and labels, building and compiling models, and optimizing performance through activation functions, fitting, and epochs. Access accompanying code on GitHub and enhance your skills in deep learning and machine learning with TensorFlow.