This analysis is for the mtcars dataset, with tests such as VIF, Residuals and Cook's Distance to give a general understanding of the steps involved in regression.

This report analyses self-collected data to justify my individual as well as my group's collective behavior, trends, and habits.

This report is an analysis of the Masters of Data Science and Innovation (MDSI) slack community. It demonstrates the use of two common languages among data scientists, R and Python, along with SQL to extract, analyse and make visualizations of the data. Additionally, this report demonstrates the use of R’s Plumber API to host the data in localhost and how it is pulled and parsed in Python. The visualizations included in this report are the most active users (i.e. the users who have sent the most messages till date) in the form of a wordcloud, how the participation of the community’s admins has changed over the years and the most used collocations in the mdsi_electives channel

Cheat Sheet- Basic Python and R skills for Data Scientists

This document is a step-by-step guide on extracting a blog article via a blog website and creating a word cloud of it.