# Bowles Notebooks

Files used by Michael Bowles: Machine Learning in Python: Essential Techniques for Predictive Analysis. Wiley 2015.
## Datasets

```sh
cd ~/b/data/
```
Find this files:

* titanic_MLPC.csv
* sonar.all-data.csv
* abalone.data.csv
* glass.data.csv
* winequality-red.csv

Find also this files:

* schuhgroesse_ws2021.csv

## Notebooks

Change to the Bowles Notebooks dir:

```sh
cd ~/b/Bowles2015/
```

Find a dozend notebooks related to the code examples in Bowles2015, updated to Python 3.x:

* Bowles_2.1_titanic.ipynb
* Bowles_2.2_rocks.ipynb
* Bowles_2.3_rocks.ipynb
* Bowles_2.4_abalone.ipynb
* Bowles_2.5_wine.ipynb
* Bowles_2.6_glass.ipynb
* Bowles_3.3_rocks.ipynb
* Bowles_3.4_wine_rocks.ipynb
* Bowles_4.3_wine.ipynb
* Bowles_5.2_wine.ipynb
* Bowles_5.3_rocks.ipynb
* Bowles_5.5_glass.ipynb