full stack data dashboard practice

a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis

Churn prediction for a fictional music streaming app with pyspark mlib

☕️Customer segmentation to identify the parts of the population that best describe the core customer base of the company; Predict which individuals are the most likely to respond to the company's m…

Use transaction, demographic and offer data to determine which demographic groups respond best to which offer type and possible ways to use historical data to reduce ad spending

Recommend Articles for users on IBM Watson Studio platform using methods such as user-user based collaborative filtering and matrix factorization

Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to …

AB Testing analysis from Udacity, including determining the experiment size and analyzing the results.

Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication

a small practice for building python package

Exploration on the Boston Airbnb Data

Ingeset backlinks data from Majestic and visualize the links network in Neo4j (with Neo4j community server)

wrapper around matplotlib and seaborn according to my visualization habit in python to make creating graphs faster

Text analysis on customer reviews

Small programs that mimik pieces in machine learning algorithms