Our main interest is in the problem of making predictions in the online mode of learning where at every step in time a signal arrives and a prediction needs to be made before the corresponding outcome arrives. Loss is suffered if the prediction and outcome do not match perfectly. In the prediction with expert advice framework, this protocol is augmented by a pool of experts that produce their p...

Crop production rate relies on rainfall over Rejang Lebong district. Data showed a discrepancy between increased crop and in District. However, the spatiotemporal distribution of variable's dependencies remains unclear. This study analyses relationship district based performance machine learning method. In addition, this research also performed regression analysis to carry out clusters producti...

House price fluctuates each and every year due to changes in land value change infrastructure around the area. Centralised system should be available for prediction of house correlation with neighbourhood infrastructure, will help customer estimate house. Also, it assists come a conclusion where buy when purchase Different factors are taken into consideration while predicting worth like locatio...