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This capstone project has been submitted as part of the requirements for completion of the IBM Data Science Professional Certificate on Coursera. In general, this project would be encompassing a series of Data Science techniques, including, but not limited to, Web Scraping (using BeautifulSoup and Requests), Data Cleaning, Data Wrangling and Machine Learning (K-Means clustering algorithm)

Python 100.00%
beautifulsoup data-science data-wrangling folium kmeans-clustering python

coursera-ibm-the-battle-of-neighborhoods-capstone-project-'s Introduction

Hi there 👋

  • 🔭 I'm currently exploring the fascinating world of AI and Blockchain
  • 📆 Driving change with blockchain as a Blockchain Analyst @Polygon (Previously Matic Network)
  • 🌱 Working on multiple cross-domain projects at a hackathon near you
  • 👯 I’m looking to collaborate on Data Science and iOS/web3 projects
  • 🤔 I’m looking for help with Animation and 3D modeling
  • 💬 Ask me about Startups, Space, Finance and Tech
  • 🔒 Ardent supporter of user privacy rights and piracy controls
  • 🌙 Probably losing sleep thinking about the many-worlds interpretation of quantum mechanics
  • 📫 How to reach me: Send a DM at @skhiearth
  • 😄 Pronouns: He/Him



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