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eugenelin89

Eugene Lin

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Text Prediction Presentation
Text Prediction EDA
Crime Prediction Presentation
Predict what crime will take place by entering date, time, and and specifying a location by clicking on the map.
BC Schools
This map represents the most recent enrollment information for public and private elementary and secondary schools in British Columbia
Practical Machine Learning Project
Using devices such as Jawbone Up, Nike FuelBand, and Fitbit it is now possible to collect a large amount of data about personal activity relatively inexpensively. These type of devices are part of the quantified self movement – a group of enthusiasts who take measurements about themselves regularly to improve their health, to find patterns in their behavior, or because they are tech geeks. One thing that people regularly do is quantify how much of a particular activity they do, but they rarely quantify how well they do it. The objective of this exercise is to use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. They were asked to perform barbell lifts correctly and incorrectly in 5 different ways. We commpare two Machine Learning algorithms - Decision Tree and Random Forest to learn from the data and to make predictions. More information is available from the website here: http://groupware.les.inf.puc-rio.br/har
Health and Economic Effects of Severe Weather Events in the United States
Severe weather events can cause public health and economic problems. In this report, we aim to investigate the top harmful weather events in terms of economic cost as well as fatalities and injuries. We explore dataset from U.S. National Oceanic and Atmospheric Administration (NOAA) storm database which records characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage starting in 1950 and end in November 2011. From these data, we found that tornadoes have been the most harmful weather event to population health, and flooding has been the most costly disaster in terms of economic cost.