Indian Premier League is a T20 League which was started in 2008 and now became the most irresistible T20 cricket carnival. Since the IPL has large popularity, predicting the results of it is really important and to be more effective. The Solution of predicting the results can be done with the help of Time Series Analysis and the Machine Learning Algorithms and Techniques which reduce the Domain Knowledge. Data Analysis has to be done by taking the historical data and need to draw some conclusions by applying Machine Learning Techniques. The solution of predicting the match must be effective since, there is a lot enthusiasm for IPL seasons and winners of that Season. Data Analytics are also used in Commercial Industries to draw the best conclusions. In this particular paper the parameters like Venue of the match, Win or Loss of the Toss, ball to ball details, Batsman Strike Rate were taken in to consideration for which the machine learning techniques were applied and the results are predicted. The Data Sets of past 7 years are taken with the above parameters and preprocessing is done for the data. The Machine Learning Algorithms that we used in here are Random Forest and Logistic Regression for predicting the accurate results. Before predicting, we need explore the data and analyze it to the extent.