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A collection of useful Python code snippets for Exploratory Data Analysis (EDA), Feature Engineering, and Modeling.

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useful-snippets-tabular

Introduction

Welcome to the useful-snippets-tabular repository! This is a collection of useful Python code snippets for Exploratory Data Analysis (EDA), Feature Engineering, and Modeling. The repository is organized by topic, with each topic having its own folder.

Prerequisites

  • Python 3.8

Folder Structure

The repository has the following folder structure:

src: This folder contains the code snippets organized by topic. eda-dataprep: This folder contains code snippets for Exploratory Data Analysis (EDA) and data preparation.

modeling: This folder contains code snippets for modeling and HPO.

Usage

The code snippets in this repository can be used as a starting point for your own projects. Each code snippet is well-commented, making it easy to understand the purpose of each line of code.

License

The code in this repository is licensed under the MIT License.

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A collection of useful Python code snippets for Exploratory Data Analysis (EDA), Feature Engineering, and Modeling.

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