Skip to main content

Posts

Showing posts with the label titanic dataset

Exploring the Automl and pandas profiling using titanic dataset

        Exploring automl and pandas profiling using titanic dataset                               project and writing: shyambhu mukherjee Introduction: In this project, we created a kaggle notebook on the titanic dataset and explored two new items: (1) sberbank light automl library (2) pandas profiling In this blog post, I am going to describe the project; different code patches and how the whole thing worked out. Pandas profiling to start: If you don't know what is pandas profiling, then let me introduce to it. Basically pandas dataframe has a describe attribute; which let's you see the count,mean, median, 75%, and max of the columns in the dataframe. The pandas profiling is an extended version of that; which sort of automates the whole task of exploring and creating a large number of eda outputs.  In short, here are the things which pandas profiling does: (1) create bas...