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...
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