Tag: Data Science

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A hands-on guide to ‘sorting’ dataframes in Pandas

My tryst with the pandas’ library continues. Of late, I have been trying to look deeper into this library and consolidating some of the pandas’ features in byte-sized articles. I have written articles on reducing memory usage while working with pandas, converting XML files into a pandas dataframe easily, getting started with time series in pandas, and many more. In this article, … Continue reading A hands-on guide to ‘sorting’ dataframes in Pandas

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Learning from others is imperative to success on Kaggle says this Turkish GrandMaster

In conversation with Fatih Öztürk: A Data Scientist and a Kaggle Competition Grandmaster. Image by Author In this series of interviews, I present the stories of established Data Scientists and Kaggle Grandmasters at H2O.ai, who share their journey, inspirations, and accomplishments. These interviews are intended to motivate and encourage others who want to understand what it … Continue reading Learning from others is imperative to success on Kaggle says this Turkish GrandMaster

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Using Python’s datatable library seamlessly on Kaggle

Managing large datasets on Kaggle without fearing about the out of memory error Image by user Datatable is a Python package for manipulating large dataframes. It has been created to provide big data support and enable high performance. This toolkit resembles pandas very closely but is more focused on speed. It supports out-of-memory datasets, multi-threaded data processing, … Continue reading Using Python’s datatable library seamlessly on Kaggle