Hi,
I have extensive exposure to Machine Learning using Rapid Miner, R and Weka that are important online data analysis environments and by using these tools I performed detailed analytics and mining services. I also have wide ranging experience of using Tableau for data analytics, data visualization and statistical techniques.
Significant examples of these my previous experiences are as follow:
Cancer Patients data analysis: We took 5 year worth or 60,000 of records with 41 attributes (36 qualitative and 4 quantitative) and applied the following models: Data cleaning, Statistical findings, analysis of correlation matrix, visualization by histogram and scatter plotting, frequent item-set mining for visualization of association between attributes.
I also have done predictive analytics using RapidMiner on various data set for prediction of desired attribute.I recently completed one weka project where I did cost matrix analysis applied best model based on accuracy and cost analysis. Then I made prediction results about marketing campaigns dataset that either client would subscribe a term deposit or not.
I also can apply attribute (feature) selection technique by which we can use such attributes that have the highest predictability power for given train and test data set.
In another project I did anti-social behaviour detection for finding out abusive and offensive words from social posts and emails using text mining by Rapid Miner 5.3.
Looking forward for further details.