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stolzen

Automatically exported from code.google.com/p/stolzen

titanic-challenge

The project was one of my entries to the kaggle titanic challenge. In this project I used 3 different classifiers to predict which of the titanic passengers would have been most likely to survive given their age, sex, coach class etc. I used machine learning libraries of Scikit learn, data visualisation libraries of seaborn and matplotlib to perform my analysis. Random Forest Classifier had the best performance score for my data set

workfromhome

Analysis of a research study to stud empathy in wfh paradigms

working-with-sales-data