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vpreston submission for warmup assignment #6

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03d5f63
data for the titanic dataset
vpreston Jan 26, 2016
6d96397
importing the data, setting up the exploration
vpreston Jan 26, 2016
eea7d51
data exploration phase well underway, checked in for class
vpreston Jan 26, 2016
bad411e
first pass at iteration 1 complete
vpreston Jan 28, 2016
7c61303
Iteration 1 completed, able to score with 78 percent accuracy
vpreston Jan 29, 2016
f67697e
Final iteration with score of 0.80838
vpreston Feb 2, 2016
8f58ac6
cleaning up the repo
vpreston Feb 2, 2016
43a5e20
Updated README
vpreston Feb 2, 2016
3765378
comment clean-up
vpreston Feb 2, 2016
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737 changes: 737 additions & 0 deletions .ipynb_checkpoints/data_exploration-checkpoint.ipynb
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11 changes: 10 additions & 1 deletion README.md
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# DataScience16WarmupProject
This is the base repo for the warmup project for Data Science at Olin College, Spring 2016.
This is the warm-up project for Olin College's Data Science course. In this project, students were tasked with looking at kaggle's [Titanic competition](https://www.kaggle.com/c/titanic/leaderboard?submissionId=2507145) data. In three stages, student's explored the dataset, developed a first pass model for making survival predictions, and then iterated on their models.

This repo contains three ipython notebooks which described each of these steps, as well as the generated data files which were ultimately submitted to kaggle.

## To Run
If you are interesting in running any of the notebooks, do be sure that you have Anaconda installed. You can open any notebook by typing in the command line ipython notebook with the filename.

## Results
The final model in the iteration two notebook achieved a score of 0.80383, an improvement from a [Dataquest tutorial](https://www.dataquest.io/mission/75/improving-your-submission) on this matter (achieves a score of 0.79904), but not surpassing other sources which were referenced in the making of this including a [blog post](http://elenacuoco.altervista.org/blog/archives/1195) and [R tutorial](http://trevorstephens.com/post/72916401642/titanic-getting-started-with-r). At the end of the second iteration notebook I have included a reflection on the project.

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