面了Enigma的Data challenge。一小时的时间来处理数据,建模加documentation。之后紧接着一个15分钟的presentation。可以自选语言,选用jupyter notebook / R markdown.
面试问题是一个典型的binary classfication. 数据不大,100,000 rows and 13 columns. 没有什么transformation, missing value之类的问题。
不过感觉时间还是有点紧,加上还需要花点时间整理presentation需要的材料。我感觉个人熟练度还不够,只fit了一个logistic regression加一些model validation. 欢迎提供更好的建议和model。
希望对大家有帮助。欢迎加米!. ----
原题如下:
Enigma Stadium has hired you as a data consultant to help us increase ticket sales for professional basketball games. We are sending you a dataset of individuals we’ve collected with some personal information gathered through surveys, and includes whether or not the individual plans on buying tickets. Enigma Stadium will use your analysis to help us with our new direct mail strategy.
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