Machine Learning Tutorial for Beginners

Learn the fundamentals of machine learning with TensorFlow in this comprehensive 2-hour tutorial. Explore essential concepts including working with tensors, using Google Colab, downloading and cleaning data, creating visualizations like boxplots and histograms, and understanding correlation matrices. Dive into neural network regressions, generate random data, normalize datasets, and implement one-hot encoding. Master the process of separating features and labels, dividing data into training and testing sets, and building, compiling, and evaluating models. Gain insights into activation functions, model fitting, and working with epochs. Access accompanying code on GitHub and enhance your machine learning skills through hands-on practice and live Q&A sessions.