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Geographic Information Gathering for Machine Learning Purpose

A scalable Python framework for cleaning and enriching CSV data with additional features like weather data. This framework is designed to assist in preparing datasets for machine learning applications.

Features

  • Data Cleaning: Removes missing, invalid, or duplicate records.
  • Weather Data Enrichment: Fetches real-time weather data based on geographic coordinates using the OpenWeatherMap API.
  • Progress Monitoring: Real-time progress bars using tqdm.
  • Output: Returns a cleaned and enriched Pandas DataFrame for immediate use in machine learning workflows.

Installation

Prerequisites

  • Python 3.7 or higher
  • Pip

Steps

  1. Clone the repository:
    git clone https://github.com/your_username/data-enrichment-framework.git
    cd data-enrichment-framework

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