Write some Software using WEKA, to run some analysis on a data set

As discussed, here is my offer on WEKA! 1- Select Dataset and describe the data 2- Select Software ( if not traceis, describe it) 3- Data cleaning and preprocessing a. Normalization b. Discretization c. Deletion d. etc 4- Data Summary and Graph a. Mean, Median,variance, std , range etc,etc b. Scatter plot, boxplot 5- Data group (unsupervised learning) a. Clustering b. Association rules ( if possible) 6- Classification a. Decision trees b. Naïve bays c. K-NN d. Advanced algorithms such as (neural nets is a bonus) 7- Prediction a. Linear regression b. Advanced (bonus) 8- Model(s) evaluation or comparison a. Summaries advantage and disadvantages to all algorithms b. Write summary of the evaluation results 9- Ensemble model a. Describe it b. describe its performance

my last work was weka ... chk my review ............................................................................................................................................................

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