Highlights
Consider UCI Machine Learning Repository, pick one of the dataset, and choose one of the commonly used methods in analytics solutions given in Module-4, and explain the algorithm and the technical foundations for the dataset you have chosen from UCI– ML Repository. If you would like to bring your own dataset, it will be accepted.
Link for UCI Machine Learning Repository:
The combination of the recommended datasets and the method: Arrhythmia (Classification), Credit Approval (Classification), Computer Hardware (Regression), Diabetes (Time series), Echocardiogram (Classification), Heart Disease (Classification), Sponge (Clustering), Water Treatment Plant (Clustering), Forest Fires (Regression), Bag of Words (Clustering – Text Analytics), Parkinsons (Classification), Parkinsons Telemonitoring (Regression), Bank Marketing (Classification) and etc.
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