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# System prepended metadata

title: "\U0001F308\U0001F4BB Data Science for ✨ Joy ✨ and ⚖️ Justice ⚖️"

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# 🌈💻 Data Science for ✨ Joy ✨ and ⚖️ Justice ⚖️

### Computing for *Joy*

Computing isn't just for number crunching. You don't have to be a math wiz either (though you totally could become one!) There are lots of computing projects that can make you laugh, help you express yourself, or allow you to create something *just because*. Have you ever wanted to know more about your favorite sports team? Or see what people are saying on Twitter about your favorite music artist? Ever wanna know how Spotify recommondations work, or how ALEXA learns to understand you? There are infinite possibilities when it comes to having fun with Data Science. We're here to support your silly and creative projects.

#### Some example projects include:

- Taylor Swift stats https://www.reddit.com/r/TaylorSwift/comments/ocjlo2/taylor_swifts_spotify_data_visualization/
- NBA charts http://sporviz.com/
- Chihuahua or Muffin confusing the algorithms https://www.topbots.com/chihuahua-muffin-searching-best-computer-vision-api/
- https://imerit.net/blog/15-crazy-ai-experiments-to-try-online-today-all-una/
- Edges2Cats https://affinelayer.com/pixsrv/
- QuickDraw https://quickdraw.withgoogle.com/


### Computing for *Justice*


We can also use Data Science for causes we care about. Data can help us to better understand a situation, and decide how to move forward to make the biggest impact. Maybe you're interested in medicine, or the environment, or policing. Maybe you'd like to know more about misinformation, or how best to allocate resources during natural disasters or food shortages. Your future career could involve analyzing data, communicating science, doing social media outreach, or making important decisions based on data. We're here to help you see if this is the right way to explore your passions.

#### Some example projects include:
- Justice Navigator https://justicenavigator.org/report/sample-assessment-2021/summary
- SNAP benefits calculator https://public.tableau.com/app/profile/feeding.america.research/viz/BudgetDashboard_v8AA2_0/BudgetDashboardInfographic
- Redlining https://millennialcities.com/interactive-data-tools/mapping-inequality-redlining-in-new-deal-america/
- Disasters https://www.fema.gov/data-visualization/disaster-declarations-states-and-counties
- LGBTQ demographics https://williamsinstitute.law.ucla.edu/visualization/lgbt-stats/?topic=LGBT#density
- 


https://www.gaytascience.com/transphobic-algorithms/

https://www.gaytascience.com/transphobic-algorithms/

https://elon.libguides.com/c.php?g=553597&p=5095797

https://millennialcities.com/interactive-social-justice-tools-for-learning-teaching-and-planning/

https://datajusticelab.org/

https://datajusticelab.org/wp-content/uploads/2020/06/djl-data-literacy-guidebook.pdf


https://www.springboard.com/blog/data-science/data-science-projects/



https://experiments.withgoogle.com/collection/ai

https://ithrivegames.org/



# BRAINSTORM APPLICATIONS HERE
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1. News Reliability Predictor: Utilizing SVM and Naive Bayes to classify a news article as Reiable or Unreliable. I would like to train the data on a different dataset as I believe that currently the data is too focused on US election news which might cause bias in the algorithm.

2. Predicting salaries of Employees based on company, work ex, age, sex, degree, and other parameters: I do not currently have access to any data as such but it seems like an interesting way to show how Linear Regression techniques can be used in predicting how much salary a company should be paying its employee.

3. Image Classification Model: A simple Image classification model which identifies if a "certain object or animal" is present in the image or not.



Our Top 5 Apps are:
News Reliability
Twitter Sentiment:https://monkeylearn.com/blog/sentiment-analysis-of-twitter/
Smile Detector: https://towardsdatascience.com/facial-recognition-happiness-bbb3c4293d1d
Ad Recommendations
Salary Stats