Mca project download with source code

  Cricket Team Selection using Distant envelop algorithm (DEA)     PROJECT ID: PYTHON07   PROJECT NAME: Cricket Team Selection using Distant envelop algorithm (DEA)   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: This paper suggests a new method for cricket team selection using data envelopment analysis (DEA). We propose a DEA formulation for evaluation of cricket players in different capabilities using multiple outputs. This evaluation determines efficient and inefficient cricket players and ranks them on the basis of DEA scores. The ranking can be used to choose the required number of players for a cricket team in each cricketing capability. A real dataset, Indian Premier League 4 (IPL 2011), cricket players having various capabilities is used to choose the best cricket team. The proposed method has the advantage of considering multiple factors related to the performance of players in multiple capabili...

  Cricket result (match outcome) prediction using Random forest algorithm     PROJECT ID: PYTHON06   PROJECT NAME: Cricket result (match outcome) prediction using Random forest algorithm   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: Cricket is a sport that contains a lot of statistical data. There is data about batting records, owling records, individual player records, scorecard of different matches played, etc. This data can be put to proper use to predict the results of games and so this problem has become an interesting problem in today’s world. Most of viewers nowadays try to do some sort of prediction at some stage of the tournaments to see which team will eventually win the upcoming matches and thereby the tournament. This report aims at solving the problem of predicting the results of games by identifying the important attributes from the data set and using the data mining algorithms. I have li...

  Coronary artery calcium score and risk classification for coronary heart disease prediction   PROJECT ID: PYTHON05   PROJECT NAME: Coronary artery calcium score and risk classification for coronary heart disease prediction   PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING   PROJECT ABSTRACT: The coronary artery calcium score (CACS) has been shown in large prospective studies to be associated with the risk of future cardiovascular events.1-4 Recent data from the Multi-Ethnic Study of Atherosclerosis (MESA), a population-based cohort of individuals without known cardiovascular disease, found that a CACS > 300 was associated with a hazard ratio for future coronary heart disease (CHD) events of nearly 10.4 In addition, including CACS in a prediction model based on traditional risk factors significantly improved the prediction of future CHD events. While these findings clearly demonstrated strong statistical association of CACS wi...