Day by day, the role of data science and machine learning in cricket is increasing due to the
large amount of data generated from a single player on a whole line. The field of data …

Cricket is a sport that is widely hailed in India. It is followed fervently in the country, such that
some players are worshiped, and are considered holy. Created by shepherds of England, it …

Exploratory data analysis for Indian Premier League (IPL) data is widely covered in the field
of data analytics and machine learning problem and specifically based for match prediction …

The main purpose of making this report is to give the information to the franchise to make
their decision on buying the players by bidding in the auction based on their performances …

Nowadays Data mining is an emerging field in sports analysis. To choose a most effective
team or to predict suitable formation for winning a game or to analyze weakness of the …

Cricket is a two-team outdoor game that originated in England around the 19th century. This
is played in 3 forms as twenty20, ODI, and Test matches. Due to the availability of data …

Machine learning (ML) techniques are used to complete the difficult tasks in a timely
manner. Presently, ML models are used for decision making in a different sectors like …

Cricket represents the most popular activity in India, and it is played there in all of its regions
in various formats. Indian regional teams, international competitions all field players in the …

Cricket is the one of the most popular sports. A well-known domestic T20 league in the world
is Indian Premier League (IPL). IPL is a very lucrative sport, hence players are in high …

With the increasing number of matches day by day, it has become difficult to manage or
extract useful information from the available data of all the matches. The paper presents a …