Mastering Applied Data Science with Deep Learning
Mastering Applied Data Science + Deep Learning is a project-driven course that will teach students the practical aspects of Data Science, such as collecting data by web scrapping, validation of information in data by data analysis, comparing models created by ML and DL algorithms by interpreted metrics, and more. Additionally, we dive into the more enhanced aspects of data science by introducing topics, such as recommender systems, natural language processing (NPL), Deep Learning, and Computer Vision, which are all in everyday applications of AI. Our classes provide background and insights while solidifying the ideals through hands-on in-class projects and in depth real life business projects. Students are expected to present their findings and documentations on their journey throughout their project and explain further on what would be their next step to solve the business problem.