This is python implementation of predicting our favorite cricket league IPL using Random forest and logistic regression classifier.
We have used dataset from kaggle (Link) which is contrubuted by Manas.
- Pandas (for data processing and I/O operation of CSV file)(reference)
- Numpy (for basic linear algebra) (reference)
- Sklearn (for building predictive model) (reference)
- Matplotlib (for plotting the data) (reference)
- Seaborn (for statistical data visualization)(reference)
- Sklearn.kFlod (for split the testing and traning data)(reference)
- First I used basic logistic regression model which is getting very low accuracy of 24.01%
- And then I used Random forest classification model which is giving great accuracy of 89.15%