The objective of the course is to teach first-year undergraduate students the fundamentals of programming, including coding basics, the order of computation, loops, lists, functions, and file parsing. Students will also be introduced to web scraping and some advanced programming concepts, providing them with a strong foundation for further development in computer science and data analysis.
Sep 15, 2024
The objective of this course is to introduce first-year students to the fundamentals of data science. It begins by covering the basics of essential data science techniques, including supervised learning methods such as linear regression, decision trees, and logistic regression. The course also explores unsupervised methods like clustering, and discusses techniques for addressing model overfitting and underfitting. In addition, students will learn advanced methods such as boosting and bagging to enhance model performance.
Feb 10, 2024