Machine Learning Assignment - repost

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Hi I want a project ASAP for machine learning. I want to implement following things-\r\[url removed, login to view]\r\[url removed, login to view] with Postprunning\r\n3. Random Forest\r\[url removed, login to view]\r\n\r\n1. Evaluate your implementation on the datasets in [url removed, login to view] (downloadable from course website) using 10 times 5-fold cross-validation, and report the average accuracy and standard deviation. All datasets are for UCI machine learning repository. You can check the detailed descriptions from the following link:\r\n\r\n[url removed, login to view]~mlearn/[url removed, login to view]\r\n\r\nFor breast cancer data see:\r\n[url removed, login to view]+Cancer+Wisconsin+%28Diagnostic%29\r\n \r\nFor car data see: [url removed, login to view]+Evaluation\r\n\r\nFor ecoli data see:[url removed, login to view]\r\n\r\nFor letter recognition data see:\r\n[url removed, login to view]+Recognition\r\n\r\nFor mushroom data see: [url removed, login to view]\r\n\r\nFor each data set, there is a target variable, the one your model predicts. The following are the target variable for each data set.\r\nCoding should be done in java and without the use of Weka.

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