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PUBG Finish Placement Data Science Project in R

In this project, we will try to predict how often players playing a video game called PUBG will win when they play by themselves.
What are the prerequisites for this project?
  • R GUI 3.4 and RStudio 1.1.456 (and preferably the latest version)
  • Preferably i5 processor with 4GB RAM with the graphics card
  • Basic understanding of supervised machine learning techniques- especially classification and regression
  • Basic understanding of data manipulation/cleaning in R
  • Basic understanding of data visualization in R
  • Hands-on in R

What will you learn

  • Learn how to handle huge data set and along with data cleaning activities
  • Pipeline commands to handle data cleaning activities
  • Classification model tuning parameters
  • Usage of one of the powerful libraries, i.e., caret to work out a classification model
  • Visually representing the important variables in a model

Project Description

We will try to predict how often players playing a video game called PLAYERUNKNOWNS BATTLEGROUNDS(more famously known as PUBG) will win when they play by themselves.

The data set provides information about players’ statistics for approximately 85,000 of the top PUBG players. All statistics were gathered using aggregate region filters (all regions) and feature labels are subdivided by server type: solo, duo, and squad. The data consists of 87,898 players with 150 numerical game-play features per player (+2 for the player name and PUBG Tracker ID).



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