Step into the world of R and elevate your data science expertise. This course begins with a hands-on introduction to R and RStudio, guiding you through data types, programming essentials, and file management. You'll master data import, manipulation, and visualization, exploring tools like ggplot2 and advanced libraries for dynamic and interactive graphics.
Advance into machine learning and deep learning concepts with practical applications. Covering regression, classification, clustering, and dimensionality reduction, you'll explore essential techniques for building predictive and analytical models. The course also delves into deep learning, including CNNs, RNNs, and autoencoders, ensuring you grasp modern AI methodologies.
The journey concludes with applied projects, featuring real-world datasets and challenges in shiny app development, dynamic reporting, and automation. By the end, you'll have the skills to build end-to-end data-driven solutions, positioning yourself as a competitive professional in data science and AI.
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