/EDA_ML

this repository dives into the world of Exploratory Data Analysis (EDA) using Python. Discover hidden patterns, understand data distributions, and prepare for further analysis and machine learning tasks.

Primary LanguageJupyter Notebook

EDA_ML

This repository delves into the realm of Exploratory Data Analysis (EDA) using Python. Uncover concealed patterns, grasp data distributions, and prepare for subsequent analysis and machine learning tasks.

Exploratory Data Analysis (EDA) with Python

Welcome to the eda_ml repository! This collection showcases various exploratory data analysis (EDA) projects using Python. Dive into code, visualizations, and findings to discover hidden patterns and insights within data.

Purpose

  • Demonstrate EDA techniques for understanding data characteristics and relationships.
  • Provide code examples for practical application of EDA tools and libraries.
  • Share insights and findings from real-world EDA projects.
  • Create a resource for learning and practicing EDA skills.

Contents

This repository includes:

  • Notebooks: Jupyter Notebooks showcasing EDA processes and visualizations.
  • Scripts: Python scripts for reusable EDA functions and workflows.
  • Datasets: Sample datasets used for EDA projects (if applicable, consider size limitations).
  • Visualizations: Plots and figures generated during EDA.
  • Readme.md: This file, providing an overview and guidance.

Getting Started

Clone the repository:

git clone https://github.com/singhsourav0/eda_ml.git