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49 followers · 7 following

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: StarstruckAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: StarstruckAchievement: YOLOAchievement: Arctic Code Vault Contributor

Organizations

@The-Misfits

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skhiearth/README.md

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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  1. Coursera-IBM-The-Battle-of-Neighborhoods-Capstone-Project- Coursera-IBM-The-Battle-of-Neighborhoods-Capstone-Project- Public

    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 se…

    Python

  2. Pink-iOS Pink-iOS Public

    Source Code and linked assets for the Pink+ project by The Misfits

    Swift 3 2

  3. NYC-Motor-Vehicle-Collisions NYC-Motor-Vehicle-Collisions Public

    Analysing and visualising Motor Vehicle Collisions in New York City with an objective to make the city roads safer using Data Science techniques.

    Python 2 1

  4. Coursera-IBM-Machine-Learning-with-Python-Final-Project Coursera-IBM-Machine-Learning-with-Python-Final-Project Public

    The following algorithms are used to build models for the different datasets: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression The results is reported as the accuracy…

    Python 17 21