Ended on 3rd May'21 03:30 PM (Coordinated Universal Time)
Data Sprint #32: Poker Hands
Build a machine learning model to predict poker hand
95
Easy
Challenge Starts
30 Apr 03:30 pm
Registration Ends
03 May 03:30 pm
Challenge Ends
03 May 03:30 pm
Content & Problem Statement
Poker is a game which people play with a normal set (or deck) of 52 cards. Poker is a gambling game which involves some luck, but also some skill. In poker, players make bets against each other depending on the value of their poker hand. Bets are usually made with plastic or ceramic discs called chips. Bets may also be made with real money, but chips are more often used because they are easier to handle and count. At the end of the game, players either swap their chips for money, or the chips are counted to determine the order of winners.
In poker, players form sets of five playing cards, called hands, according to the rules of the game. Each hand has a rank, which is compared against the ranks of other hands participating in the showdown to decide who wins the pot.
Objective
Build a machine learning model to predict poker hand.
What you will learn?
- Supervised Learning Algorithms - Classification Techniques (Learn ithere)