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