Skip to content
View Ransomk's full-sized avatar
Block or Report

Block or report Ransomk

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ransomk/README.md
  • 👋 Hi, I’m @Ransomk
  • 👀 I’m interested in Data Science, Technology, Finance, Video games, Art, Pop Culture, Memes
  • 🌱 I’m currently learning Data Science
  • 💞️ I’m looking to collaborate on Data Science and data analysis projects
  • 📫 How to reach me. Holla at me on my email - [email protected]

Popular repositories Loading

  1. Retail-Supermarket-Store-Sales-Analysis Retail-Supermarket-Store-Sales-Analysis Public

    An analysis of a Giant retail supermarket chain's sales data for a period of 2.5 years using R to build a model for forecasting Sales

    R 2

  2. Andrew-NG-Notes Andrew-NG-Notes Public

    Forked from ashishpatel26/Andrew-NG-Notes

    This is Andrew NG Coursera Handwritten Notes.

    Jupyter Notebook 1

  3. NLP-Course-Project-Review-Analysis-and-Topic-Modeling-with-LDA NLP-Course-Project-Review-Analysis-and-Topic-Modeling-with-LDA Public

    This project includes analysis of buyer's reviews/comments of a popular mobile phone from an e-commerce website . Analysis done for the project include pre-processing of text data such as word-toke…

    Jupyter Notebook

  4. Ransomk Ransomk Public

    Config files for my GitHub profile.

  5. ransomk.github.io ransomk.github.io Public

    A collection of my data analysis and data science projects

    Shell

  6. California-Housing-Price-Prediction California-Housing-Price-Prediction Public

    A simple data science project on the California Housing Dataset with some Exploratory data analysis and use of Linear Regression models from sklearn and Seaborn plots

    Jupyter Notebook