Machine learning with Virat Kholi

Cricket is a sport that is loved by millions of people all over the world, and one of the most popular players in the world is Virat Kohli. Kohli is known for his outstanding batting skills and has scored numerous runs throughout his career. As a cricket player, it is always exciting to predict the runs that will be scored by Virat Kohli in the next match. Here, we will discuss how we can use linear regression to predict the runs that Kohli is likely to score in the next match.

Linear regression is a statistical method that is used to establish a relationship between two variables. In our case, the two variables are the number of matches played by Kohli and the number of runs scored by him in those matches. The goal of linear regression is to create a mathematical model that can predict the number of runs that Kohli will score in the next match based on his past performances.

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To illustrate the process of predicting a player’s runs using linear regression, let us take the example of Virat Kohli, one of the most prolific batsmen in modern-day cricket. Kohli has an impressive record in limited-overs cricket, with an average of over…