Python Case Studies

Welcome to the case study project repository for Python Case Studies! This repository contains the code, documentation, and resources related to six captivating case studies that use Python and computational techniques to analyse data, build classification models and unravel insights on multifaceted datasets.

Table of Contents

• Introduction
• Features
• Usage

Introduction

Python Case Studies is a case study project that is the application of tools and concepts. Ranging from working with fundamental Python objects like dataframes and numpy arrays, to using advanced tools like scikit-learn. The case studies deal with different topics - working with bird migration data to unstable mysteries of flight, deciphering social network dynamics among villagers, exploring diverse whisky flavours, and analyzing book data. The main goal of this project is to use Python as a computational tool to analyse multifaceted datasets using libraries.

Features

• Cartopy: Library designed to help cartographic tasks by offering a comprehensive set of tools for map creation and visualization
• Folium: Library that enables visualization of dynamic geographic data onto interactive maps
• SciKit-Learn: Library dedicated to machine learning tasks

Usage

Clone the repository and start working. The 'dataset' folder contains all the necessary files for the case studies.

# repository URL is the HTTPS/SSH address
$ git clone [repository URL]