Customer segmentation project using RFM and K-Means.

Unsupervised ML-Online_Retail_Customer_Segmentation - Nandu Kamankar.ipynb

# Customer Segmentation This notebook analyzing the content of an E-commerce database. Based on this analysis, We will predict segment for customer. ## Dependencies * Python 2.7 or Python >3.4 * pandas * numpy * scipy * scikit-learn * matplotlib * seaborn * nltk * wordcloud * jupyter notebook ## Install dependencies ``` Pandas: $ sudo pip install pandas numpy: $ sudo pip install numpy scipy: $ sudo pip install scipy scikit-learn: $ sudo pip install -U scikit-learn matplotlib: $ sudo apt-get install libfreetype6-dev libpng-dev $ sudo pip install matplotlib seaborn: $ sudo pip install seaborn jupyter notebook: $ sudo apt-get -y install ipython ipython-notebook $ sudo -H pip install jupyter nltk: $ sudo pip install nltk wordcloud: $ sudo pip install wordcloud ``` ## Usage * Dataset path: `./input_data/` * Run the code given in ipython notebook `Cust_segmentation_online_retail.ipynb`