Deep Learning with R: Build & Predict Neural Networks

By completing this course, learners will be able to prepare datasets in R, apply statistical and visualization techniques, build regression models, and design, run, and evaluate neural networks. The course begins with data preparation essentials, including working with dataframes, descriptive statistics, and environment setup, ensuring learners can confidently manage their workflow. It then advances to data visualization, where learners generate line graphs, scatter plots, and advanced visualizations to interpret patterns and relationships. Regression modeling concepts are introduced to provid…