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Some little notes from the author for everyone who wants to know or learn about the process that a data scientist must do from the beginning of data collection to making predictions with a model that has been built. These notes are based on the knowledge that the authors have learned and implemented. Enjoy it!

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data-science data-visualization data-analysis exploratory-data-analysis supervised-learning unsupervised-learning cleaning-data statistical-methods statistical-analysis python3

datascience_in_small_notes's Introduction

Welcome to my github account, fellas!! ๐Ÿ˜„

indonesia

devildances

๐Ÿ“ซ you can contact me at

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python json html css js pandas numpy scipy matplotlib seaborn folium sklearn tensorflow keras


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