This notebook analyzing the content of an E-commerce database. Based on this analysis, We will predict segment for customer.
- Python 2.7 or Python >3.4
- pandas
- numpy
- scipy
- scikit-learn
- matplotlib
- seaborn
- nltk
- wordcloud
- jupyter notebook
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
- Dataset path:
./input_data/ - Run the code given in ipython notebook
Cust_segmentation_online_retail.ipynb
Code credits for this code go to F. Daniel. I've merely created a wrapper and necessary changes to get people started.