Data Mining Project - Using WEKA

Hi Freelancer, I need an expert on data mining and WEKA to help with this project. DEADLINE: 2 days. Plagiarism is not tolerated. The goal of this project is to start with the raw data obtained from tripadvisor (it will be provided) and apply data mining techniques to see if it can provide any insights that were not already obvious. For this I would like you to use WEKA because it will make it a lot easier to apply the different data mining techniques. To do this project you must decide how many restaurants you will need to sample and how to sample them. If you don't have enough training data you will probably not get significant results. Then you also must decide on the list of attributes you will use for each [login to view URL] will have to decide if this is nominal, ordinal, interval or ratio data and how to discretize it. You can then use WEKA to discretize and visualize and analyze the data. Try to see if there is any relationship among the variables. For example is there any relationship between average price per meal and the star rating? Or is there any relationship between the size of the city and the average price? Or perhaps between type of restaurant and star rating? The project must be documented in a written report. You must discuss how you selected your data and provide some graphical visualization of the data. You must discuss how you discretized the data, which data mining techniques you used to analyze the data (clustering, etc.), why you chose those techniques, and most importantly what those data mining techniques revealed to you about the data. For example, how accurately can you predict the star rating of a restaurant given all of the other attributes of the data? What is the success rate and the failure rate? Does a neural network classifier work better than a naive Bayesian classifier?