Data Science Learning Project

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Title: Data Science Learning Project
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My Notes
--------
January 19, 2018

I'll suggest a set of 5 or so projects for a hackathon.
I would prefer to use R.
 - people already familiar with Python or other tools could use that
The data should be ASCII data or text, rather than images or other binary data.
I don't know what should be involved in a hackathon
 - maybe there are no specific rules

- work through "The Roles of the Data Scientist" in Jen's presentation
 - data collection would typically just involve downloading some files
 - could spend some time on data storage, as a useful exercise
- possibly, each person could work on a separate problem
 - at intervals, each person or small group could report to the whole group on what they are doing
 - could solicit help at those or any other times
- people could wander around between grous
 - maybe one person would be responsible for a given competition
 - but woulld be free to offer help to others, and accept help from others
 - everyone will have their own expertise, and their own areas they want to learn more about
- anyone could give a short tutorial for anyone interested (or for everyone)
 - for example, I could provide a quick example of moving a CSV dataset into a relational database
  - and maybe compare R dplyr with SQL

- most of the kaggle competitions on this list, have either expired or are just there for fun/learning
- the hackathon will not be actually entering any of the kaggle competitions
- the only structure of the event would be from
  (1) the process in Jen's presentation, and
  (2) the list of competitions
  (3) regular short breaks where people can quickly talk about what they have learned, problems they're having, requests to move to another projects, etc.

- as a minimum, a participant might just work through some existing kaggle "kernels" and discussions
 - ideally try them out in R (or Python), and report back to the group
  - what data science /machine learning algorithm was used
   - for exploratory data analysis
   - for final analysis
  - whether data needed to be cleaned
  - how the results were visualized

- we should focus just on R (although individuals could use whatever they want)
- ask everyone to bring a laptop with R and RStudio installed
- use R notebooks? optional
- 

References
----------
(1) https://www.kaggle.com/competitions

(2) https://www.kaggle.com/c/forest-cover-type-prediction
    Forest Cover Type Prediction
    Use cartographic variables to classify forest categories
    1,694 teams, 3 years ago

(3) https://www.kaggle.com/c/titanic
    Titanic: Machine Learning from Disaster
    Start here! Predict survival on the Titanic and get familiar with ML basics

(4) https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
    Toxic Comment Classification Challenge
    Identify and classify toxic online comments
    You are provided with a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are:
     toxic
     severe_toxic
     obscene
     threat
     insult
     identity_hate
    You must create a model which predicts a probability of each type of toxicity for each comment.

(5) https://www.kaggle.com/c/recruit-restaurant-visitor-forecasting
    Recruit Restaurant Visitor Forecasting
    Predict how many future visitors a restaurant will receive

(6) http://www.cbc.ca/news2/interactives/sh/wex94ODaUs/trump-robert-mercer-billionaire/
    Money man
    Reclusive U.S. billionaire Robert Mercer  helped Donald Trump win the presidency. But what is his ultimate goal?

(7) https://www.kaggle.com/c/text-normalization-challenge-english-language
    Text Normalization Challenge - English Language
    Convert English text from written expressions into spoken forms

(8) https://www.kaggle.com/learn/overview
    on-line courses
    KSW after a quick look, I think they are too basic for me

(9) https://www.kaggle.com/c/web-traffic-time-series-forecasting
    Web Traffic Time Series Forecasting
    Forecast future traffic to Wikipedia pages
    KSW
     - my immediate thought is that this would depend on external factors such as what's in the news, whether schools are in session, etc
     - it might be worth while to compare traffic for the same topic in different human languages

(10) https://www.kaggle.com/c/march-machine-learning-mania-2017
    March Machine Learning Mania 2017
    Predict the 2017 NCAA Basketball Tournament

(11) https://www.kaggle.com/c/integer-sequence-learning
   ) https://www.kaggle.com/c/integer-sequence-learning/kernels
    Integer Sequence Learning
    Kaggle is hosting this competition for the data science community to use for fun and education.

(12) https://www.kaggle.com/c/shelter-animal-outcomes
    Shelter Animal Outcomes
    Help improve outcomes for shelter animals

(13) http://www.image-net.org/
    ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns),
    in which each node of the hierarchy is depicted by hundreds and thousands of images.
    Currently we have an average of over five hundred images per node.
    We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.
    KSW they offer challenges, that are also on kaggle

]]></Notes> 

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