In Fall 2019, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions as well.

As the second session in the series, we will look into the Titanic Kaggle Challenge as a case study for classification problem in machine learning. Specifically we will focus on the following topics:

1. Data preparation and exploration for Titantic Kaggle Challenge
2. Introduction to the modeling of regression and classification problems.
3. Techniques on modeling classification problem using Scikit-learn library.
4. Prediction and submission to the Titanic challenge.

No specific prerequisite is required to understand most parts of the talks. The second session assumes the knowledge of topics covered in the first session. Working experience of Python, Jupyter Notebooks and linear algebra will be helpful.

If you have any questions regarding the workshop, please contact Qiyang Hu.