*****This needs to be done using R PROGRAMMING****** BCCI has hired an external analytics consu

*****This needs to be done using R PROGRAMMING******

BCCI has hired an external analytics consulting firm for data analytics. The major objective of this tie up is to extract actionable insights from the historical match data and make strategic changes to make India win. The primary objective is to create Machine Learning models which correctly predict a win for the Indian Cricket Team. Once a model is developed then you have to extract actionable insights and recommendations. 

Also, below are the details of the next 10 matches, India is going to play. You have to predict the result of the matches and if you are getting a prediction as a Loss then suggest some changes and re-run your model again until you are getting Win as a prediction. You cannot use the same strategy in the entire series, because the opponent will get to know your strategy and they can come with a counter-strategy. Hence for all the below 5 matches, you have to suggest unique strategies to make India win. The suggestions should be in line with the variables that have been mentioned in the given data set. Do consider the feasibility of the suggestions very carefully as well. 

1. 1 Test match with England in England. All the matches are day matches. In England, it will be the rainy season at the time to match. 

2. 2 T20 matches with Australia in India. All the matches are Day and Night matches. In India, it will be the winter season at the time to match. 

3. 2 ODI match with Sri Lanka in India. All the matches are Day and Night matches. In India, it will be the winter season at the time to match.