Difference between revisions of "User:KWeathington"
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*Explored Kernel Density Estimates | *Explored Kernel Density Estimates | ||
| + | |||
| + | <h2>Week Three</h2> | ||
| + | *Expanding a dictionary for sanitizing address data | ||
| + | |||
| + | *RCR Training | ||
| + | |||
| + | *Made a poster for upcoming Northwestern Mutual event | ||
| + | |||
| + | *Opened API keys | ||
| + | |||
| + | <h2> Week Four </h2> | ||
| + | |||
| + | *Added basemap to DBScan visualization | ||
| + | |||
| + | *Created several DBScan clustering models of crime in Milwaukee | ||
| + | |||
| + | *Presented research at Northwestern Mutual technology showcase at announcement of the Data Science Institute | ||
| + | |||
| + | <h2> Week Five </h2> | ||
| + | |||
| + | *Reporting halfway progress | ||
| + | |||
| + | *More DBScan and nearest neighbors based calculation of epsilon | ||
| + | |||
| + | *Began developing theory and equation for a "wastage index" | ||
| + | |||
| + | <h2>Week Six</h2> | ||
| + | |||
| + | *Implemented a K Nearest Neighbors plot to help identify optimal eps given a minPT value on certain subsections of the data | ||
| + | |||
| + | *Added hulls around individual clusters to make more user friendly | ||
| + | |||
| + | <h2>Week Seven</h2> | ||
| + | |||
| + | *Further background reading | ||
| + | |||
| + | *Cultivating literature for paper | ||
| + | |||
| + | <h2>Week Eight</h2> | ||
| + | |||
| + | *Began write up about DBScan findings | ||
| + | |||
| + | *Made poster for end of summer poster session | ||
| + | |||
| + | <h2>Week Nine</h2> | ||
| + | |||
| + | *Continued final paper writing | ||
| + | |||
| + | <h2> Week Ten</h2> | ||
| + | |||
| + | *Poster session | ||
| + | |||
| + | *Final presentations | ||
| + | |||
| + | *Finished final write-up | ||
Latest revision as of 17:08, 3 August 2018
Mentor: Dr. Shion Guha
Lab Github: https://github.com/marquettecomputationalsocialscience
Personal Github:https://github.com/KatyWeathington
Contents
Week One
- Orientation
- Data discussion meeting and updating new team members on previous work and lab goals
- Background reading on various spatial clustering algorithms and use of data science concepts in police departments
Week Two
- Compiled a preliminary list of clustering algorithms sorted into family, with a note of potential sources of biases and a summary of the steps
- Demonstrated a variety of clustering algorithms on random data
- Explored Kernel Density Estimates
Week Three
- Expanding a dictionary for sanitizing address data
- RCR Training
- Made a poster for upcoming Northwestern Mutual event
- Opened API keys
Week Four
- Added basemap to DBScan visualization
- Created several DBScan clustering models of crime in Milwaukee
- Presented research at Northwestern Mutual technology showcase at announcement of the Data Science Institute
Week Five
- Reporting halfway progress
- More DBScan and nearest neighbors based calculation of epsilon
- Began developing theory and equation for a "wastage index"
Week Six
- Implemented a K Nearest Neighbors plot to help identify optimal eps given a minPT value on certain subsections of the data
- Added hulls around individual clusters to make more user friendly
Week Seven
- Further background reading
- Cultivating literature for paper
Week Eight
- Began write up about DBScan findings
- Made poster for end of summer poster session
Week Nine
- Continued final paper writing
Week Ten
- Poster session
- Final presentations
- Finished final write-up
