├── README.md └── lifetime-value ├── environment.yml ├── ltv_pydata_seattle_2017.pdf └── pareto-nbd.ipynb /README.md: -------------------------------------------------------------------------------- 1 | # pydata-seattle-2017 2 | Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle 3 | -------------------------------------------------------------------------------- /lifetime-value/environment.yml: -------------------------------------------------------------------------------- 1 | name: lifetime-value 2 | channels: 3 | - conda-forge 4 | dependencies: 5 | - python=3.5 6 | - pymc3 7 | - pandas 8 | - matplotlib 9 | - jupyter 10 | - sklearn 11 | - pip: 12 | - lifetimes 13 | -------------------------------------------------------------------------------- /lifetime-value/ltv_pydata_seattle_2017.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dataandcaffeine/pydata-seattle-2017/b38f8121112f3dc8fce2b81c497cd84666048422/lifetime-value/ltv_pydata_seattle_2017.pdf --------------------------------------------------------------------------------