shikimihuaweiのブックマーク - はてなブックマーク

10 Advanced Matplotlib Concepts You Must Know To Create Killer Visuals

shikimihuawei 2021/10/28

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Customer Lifetime Value Prediction

shikimihuawei 2020/12/10

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Spark vs Pandas, part 4— Recommendations

shikimihuawei 2020/11/16

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4 Libraries that can perform EDA in one line of python code

Image by Mudassar Iqbal from Pixabay, Edited using PixlrExploratory data analysis (EDA) is an approach to analyze the data and find patterns, visual insights, etc. that the data set is having, before proceeding to model. One spends a lot of time doing EDA to get a better understanding of…

shikimihuawei 2020/10/10

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Visualizing In-App User Journey Using Sankey Diagrams In Python

TL;DR: Sankey diagrams can display multiple types of data over two dimensions, which makes them a great tool to visualize your application or website’s user journey. This article will get you started to build your own Sankey chart in Python (find the code in this gist).

shikimihuawei 2020/09/18

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This Might Make You Think Twice About Driving in Certain Circumstances in the U.S.

shikimihuawei 2020/09/14

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Pandas Sidetable Just Announced

shikimihuawei 2020/09/09

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Accelerating Spark 3.0 Google DataProc Project with NVIDIA GPUs in 6 simple steps

shikimihuawei 2020/07/29

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Understanding Variational Autoencoders (VAEs)

This post was co-written with Baptiste Rocca. IntroductionIn the last few years, deep learning based generative models have gained more and more interest due to (and implying) some amazing improvements in the field. Relying on huge amount of data, well-designed networks architectures and smart training techniques, deep generative models have shown an incredible ability to produce highly realistic