Python Data Science Tutorial Materials

Requirements

iris.csv is the widely used "iris" sample dataset
iris_missing.csv is a custom modification of that dataset for instruction on handling missing and messy data

Clone or download this repository locally and change into the repository directory
Install the required packages
```
 pip3 install -r requirements.txt
```

Launch the Jupyter notebook

 jupyter notebook Python_Data_Science.ipynb

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Appendix.ipynb		Appendix.ipynb
Python_Data_Science.ipynb		Python_Data_Science.ipynb
README.md		README.md
boston_pairplot.png		boston_pairplot.png
distribution_visualization.png		distribution_visualization.png
iris.csv		iris.csv
iris_missing_data.csv		iris_missing_data.csv
mean_0_std_0.8.png		mean_0_std_0.8.png
pyladies.pdf		pyladies.pdf
requirements.txt		requirements.txt
sample_regression.png		sample_regression.png
simulated_lognormal.png		simulated_lognormal.png