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The notebook walks us through a typical workflow for solving data science competitions at sites like Kaggle. There are several excellent notebooks to study data science competition entries. However many will skip some of the explanation on how the solution is developed as these notebooks are developed by experts for experts. The objective of this notebook is to follow a step-by-step workflow, explaining each step and rationale for every decision we take during solution development.

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machine-learning deep-learning titanic-kaggle titanic-survival-prediction xgboost catboost xgboost-algorithm datavisualization memes dataset

titanic-data-science-solutions's Introduction

Hi ๐Ÿ‘‹, I'm Rupam Shil

< I eat, I sleep Rest of the time I code >

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๐Ÿ’ปโš™ Tech Stack ๐Ÿ’ป (My Skills) โš™๐Ÿ’ป



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