M1-2018

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Module 1 - Applied Data Science and Machine Learning

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# M1-2018 - Applied Data Science and Machine Learning

## M1 - 1 : The Data Science Pipeline

[M1-1 Notebook](https://rawgit.com/SDS-AAU/M1-2018/master/M1_1_DS_pipeline.html)

## M1 - 2 : Data Munging

[M1-2 Notebook (.rmd: Practical)](https://rawgit.com/SDS-AAU/M1-2018/master/M1_2_data_munging.rmd)

[M1-2 Notebook (read-only: pretty)](https://rawgit.com/SDS-AAU/M1-2018/master/M1_2_data_munging.html)

[M1-2 Notebook (kaggle: executable)](https://www.kaggle.com/danielhain/sds-2018-m1-2-data-munging)

## M1 - 3/4

[EDA and Visualization part 1 - US policing](http://nbviewer.jupyter.org/github/SDS-AAU/M1-2018/blob/master/M1_S3-4%20%28part%20one%29.ipynb)

[The same notebook but now with all outputs](http://nbviewer.jupyter.org/github/SDS-AAU/M1-2018/blob/master/M1_S3-4%20%28part%20one%29_with%20outputs.ipynb)

## M1 - 5/6
[Mapping and Geovisualization](http://nbviewer.jupyter.org/github/SDS-AAU/M1-2018/blob/master/M1_4_mapping.ipynb)

[Datasourcing and Storage](http://nbviewer.jupyter.org/github/SDS-AAU/M1-2018/blob/master/M1_5_6_sourcing-and-dbs.ipynb)

## M1 - 7 : Unsupervised ML

[M1-7 Notebook](https://rawgit.com/SDS-AAU/M1-2018/master/M1_7_unsupervised_ml.html)

## M1 - 8 : Supervised ML

[M1-8 Notebook](https://rawgit.com/SDS-AAU/M1-2018/master/M1_8_supervised_ml.html)

## M1 - 9 : Supervised ML

[M1-9 Notebook](https://rawgit.com/SDS-AAU/M1-2018/master/M1_9_supervised_ml_2.html)

## M1 - 10 : A wine classification case study
[M1 - 10 Notebook](http://nbviewer.jupyter.org/github/SDS-AAU/M1-2018/blob/master/A_quick_python_modelling_pipeline.ipynb)

M1-2018

M1-2018 Latest Version Download

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M1-2018

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