In this Project, the dataset that I have collected on matches and deliveries from Kaggle website from 2008 to 2019. The entire code I did on Jupyter notebook. The main aim of this project is to find the Probability of win and loss of IPL matches. And the code is run on VS Code. And Probability of win and loss also depends on the host city, crr and rrr in my Project. The whole project is developed using python code.
The main aim of this project is to find the Probability of win and loss of IPL Matches. Also it used to predict the current run rate, and required run rate. Both the Decision Tree Classifier and Random Forest gives the most accuracy. So we can choose anyone for creating a predicting model.
So I took our data and divide split it into testing, and as it is a multiclass classification problem we used logistic Regression and Random forest for this problem.
We successfully predicted the winning teams for the following matches. Now you can sit, relax and see if your favorite team is going to win or not in this IPL season.