Pinned Repositories
-bcjc
-bcjc1
100days
100 days of algorithms
2019_project__Disaster_Response_Pipeline
Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication
2020_project__Customer_Segmentation_and_Campaign_Response_Prediction
☕️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 mail campaigns.
2020_project__Music_Streaming_App_Churn_Prediction
Churn prediction for a fictional music streaming app with pyspark mlib
2020_project__Starbucks_Ad_Campaign_Optimization
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 optimize the profit from ad
2020_project__Starbucks_Reward_Response
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
2021_project__ReviewMiner
a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis
BacklinksViewer
Ingeset backlinks data from Majestic and visualize the links network in Neo4j (with Neo4j community server)
tianyiwangnova's Repositories
tianyiwangnova/2021_project__ReviewMiner
a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis
tianyiwangnova/2020_project__Starbucks_Reward_Response
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
tianyiwangnova/BacklinksViewer
Ingeset backlinks data from Majestic and visualize the links network in Neo4j (with Neo4j community server)
tianyiwangnova/2019_project__Disaster_Response_Pipeline
Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication
tianyiwangnova/2020_project__Customer_Segmentation_and_Campaign_Response_Prediction
☕️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 mail campaigns.
tianyiwangnova/2020_project__Music_Streaming_App_Churn_Prediction
Churn prediction for a fictional music streaming app with pyspark mlib
tianyiwangnova/2020_project__Starbucks_Ad_Campaign_Optimization
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 optimize the profit from ad
tianyiwangnova/2019_practice__AB_Testing
AB Testing analysis from Udacity, including determining the experiment size and analyzing the results.
tianyiwangnova/2019_practice__Distribution_Python_Package
a small practice for building python package
tianyiwangnova/2019_practice__web_development
full stack data dashboard practice
tianyiwangnova/2019_practice_machine_learning_related
Small programs that mimik pieces in machine learning algorithms
tianyiwangnova/2019_project__Boston_Airbnb_Data_Exploration
Exploration on the Boston Airbnb Data
tianyiwangnova/2019_project__QuickMatplotlib
wrapper around matplotlib and seaborn according to my visualization habit in python to make creating graphs faster
tianyiwangnova/2019_project__RegressionAnalysis
tianyiwangnova/2019_project_ReviewMiner
Text analysis on customer reviews
tianyiwangnova/2020_project__Recommendation_Algorithm
Recommend Articles for users on IBM Watson Studio platform using methods such as user-user based collaborative filtering and matrix factorization
tianyiwangnova/2021_project__MMM
tianyiwangnova/ab-framework
Notes and Python scripts for A/B or Split Testing
tianyiwangnova/awesome
😎 Awesome lists about all kinds of interesting topics
tianyiwangnova/awesome-dash
A curated list of awesome Dash (plotly) resources
tianyiwangnova/bc
tianyiwangnova/Customer-Lifetime_Value
tianyiwangnova/Data_Work
tianyiwangnova/Data_Work_
tianyiwangnova/eht-imaging
Imaging, analysis, and simulation software for radio interferometry
tianyiwangnova/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
tianyiwangnova/Recommenders
Recommender Systems
tianyiwangnova/SentimentAnalysis
Dictionary-based sentiment analysis
tianyiwangnova/TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
tianyiwangnova/Udacity-DSND
Udacity Data Science Nanodegree Program