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https://github.com/narimiran/data-notebooks

My data science notebooks
https://github.com/narimiran/data-notebooks

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My data science notebooks

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# Data science notebooks

Repository for my notebooks that deal with data exploration, data analysis, visualizations, machine learning, etc.

I'll try to populate it with the different notebooks I did over time.
Most of stuff will probably come from kaggle.com datasets, but some things are my own explorations.

I recommend using [nbviewer](https://nbviewer.jupyter.org/) for viewing the notebooks.

List of notebooks:
* [European traffic deaths](https://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/eu-traffic.ipynb) - deaths on European roads between 2005 and 2014. An article about it is available on [my blog](https://narimiran.github.io/2016/10/02/eu-traffic.html).
* [Ex-Yugoslavian Countries - 25 Years Later](https://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/ex-yu.ipynb) - a look at the development statistics of ex-Yu countries in the last 25 years, after the Yugoslavian dissolution in '90s. An article about it is available on [my blog](https://narimiran.github.io/2018/02/26/ex-yu.html).
* [Croatian demographics 1991-2040](https://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/croatia-demographics.ipynb) - (in Croatian) - analysis of Croatian population through the years, and 2011 population census analyzed by counties. Available as [medium.com article](https://medium.com/@narimiran/hrvatsko-stanovnistvo-jucer-danas-sutra-591629462fd8).
* [Croatian elections 2016](https://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/hr-izbori-2016.ipynb) - (in Croatian) - comparison between several imaginary results of Croatian elections depending on different election rules used. An article about it is available on [my blog](https://narimiran.github.io/2016/09/13/hr-izbori.html).
* [My last.fm statistics](https://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/lastfm.ipynb) - analysis of past four years of my music listening history
* New Coders - notebooks for [2016 New Coders Survey](https://www.kaggle.com/freecodecamp/2016-new-coder-survey-). Consists of two parts:
* [Part I: univariate analysis](http://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/new_coders-part1.ipynb)
* [Part II: multivariate analysis](http://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/new_coders-part2.ipynb)
* Titanic - notebooks for [Titanic: Machine Learning from Disaster](https://www.kaggle.com/c/titanic). Consists of three parts:
* [Part I: exploratory analysis](http://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/titanic-part1.ipynb)
* [Part II: feature engineering](http://nbviewer.jupyter.org/github/narimiran/data-notebooks/blob/master/titanic-part2.ipynb)
* Part III: machine learning - coming soon