This is the course project of Seminar Data Mining (IN0014, IN4927) in Technical University of Munich. My topic described as "Give a quick overview over the data mining pipeline and then focus on methods to preprocess data such that it can be successfully tackled by data mining methods."
借在欧洲交换之便，在 2019 年 5 月的一个周末开始一场仅仅 30 小时的，说走就 5 天以后走的苏黎世之旅。
The linear model is a simple but powerful statistics model for predicting. However, sometimes, the relationship between given features and labels is not linear, such as the diameter of a circle and the area of it. But this does not necessarily mean the linear model is not suitable for them. By applying certain transformations, the model can still be optimized for more realistic problems.
My friend Marcus Mao (I'd call him "Chairman Mao") is working on his research program on this topic, and I was honorably invited to do the data analysis part of his work. The data came from testing the length of telomere of cells from human hair. Obtaining the data can be tough and time consuming, but let's keep it simple and just focus on the data analysis itself.
If you have experience in iOS development with Swift, making a Swift Playground application would not be a tough job for you. However, there are still some differences between developing an iOS application and a Swift Playground application
我就读于浙江大学，在 2018 年 10 月左右申请了慕尼黑工业大学（Technische Universität München，TUM）的2019 年夏学期 TUM Exchange 项目，之后便是相应的准备工作，从在浙江大学和 TUM 的申请到留德人员审核（APS），最终在 2019 年 3 月 2 日最终收到签证，前前后后四个多月，特写此博客以记录。