├── .gitignore
├── CLV_analysis_online_retail.ipynb
├── README.md
└── input_data
    └── Online_Retail.xlsx


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/README.md:
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 1 | # Customer lifetime value analysis
 2 | We are modelling customer lifetime value for non-contractual business.
 3 | 
 4 | ## Dependencies
 5 | * pandas
 6 | * numpy
 7 | * scipy
 8 | * matplotlib
 9 | * seaborn
10 | * lifetimes
11 | * jupyter notebook
12 | 
13 | ## Install Dependencies
14 | ```
15 | Pandas:           $ sudo pip install pandas
16 | numpy:            $ sudo pip install numpy
17 | scipy:            $ sudo pip install scipy
18 | matplotlib: 
19 |                   $ sudo apt-get install libfreetype6-dev libpng-dev
20 |                   $ sudo pip install matplotlib 
21 | seaborn:          $ sudo pip install seaborn
22 | jupyter notebook: $ sudo apt-get -y install ipython ipython-notebook
23 |                   $ sudo -H pip install jupyter
24 | lifetimes:        $ sudo pip install lifetimes
25 | 
26 | ```
27 | 
28 | ## Dataset
29 | 
30 | * Data set can be download from this [link](http://archive.ics.uci.edu/ml/datasets/online+retail)
31 | * There is no need to download dataset because it is already downloaded. 
32 | * Path of dataset is `./input_data/`
33 | 
34 | ## Usage
35 | Run the code given in ipython notebook `CLV_analysis_online_retail.ipynb`
36 | 
37 | ## Credit
38 | Code credits for this code go to [Susan Li](https://github.com/susanli2016). I've merely created a wrapper and necessary changes to get people started.


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/input_data/Online_Retail.xlsx:
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https://raw.githubusercontent.com/jalajthanaki/Customer_lifetime_value_analysis/14fda31e5464b6191fea6fbe151a1af6cfca45d3/input_data/Online_Retail.xlsx


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