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YUN HAN
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keep hungry keep foolish
TensorFlow
Keras
Xcode
Swift
SQL
Flask
Python
ML
Project
Random Forest
LightGBM
CatBoost
Work Experience
NLP
Spark
TensorFlow
Foodie
An food image recognization ios App.
Keras
Foodie
An food image recognization ios App.
Xcode
Foodie
An food image recognization ios App.
Swift
Foodie
An food image recognization ios App.
SQL
TuneSearch
A basic search engine, based on PostgreSQL 10.1, Nginx, Python 3 and Flask.
Flask
TuneSearch
A basic search engine, based on PostgreSQL 10.1, Nginx, Python 3 and Flask.
Python
CatBoost Property Research Test
Explored the CatBoost property based on different dataset in both CPU and GPU environment
TuneSearch
A basic search engine, based on PostgreSQL 10.1, Nginx, Python 3 and Flask.
ML
CatBoost Property Research Test
Explored the CatBoost property based on different dataset in both CPU and GPU environment
User Churn Prediction
In this project, we use supervised learning models to identify customers who are likely to stop using service in the future. Furthermore, we will analyze top factors that influence user retention.
Kobe shot prediction
A ML project based on boosting model
Project
User Churn Prediction
In this project, we use supervised learning models to identify customers who are likely to stop using service in the future. Furthermore, we will analyze top factors that influence user retention.
Random Forest
User Churn Prediction
In this project, we use supervised learning models to identify customers who are likely to stop using service in the future. Furthermore, we will analyze top factors that influence user retention.
LightGBM
User Churn Prediction
In this project, we use supervised learning models to identify customers who are likely to stop using service in the future. Furthermore, we will analyze top factors that influence user retention.
CatBoost
CatBoost Property Research Test
Explored the CatBoost property based on different dataset in both CPU and GPU environment
User Churn Prediction
In this project, we use supervised learning models to identify customers who are likely to stop using service in the future. Furthermore, we will analyze top factors that influence user retention.
Work Experience
CatBoost Property Research Test
Explored the CatBoost property based on different dataset in both CPU and GPU environment
NLP
Youtube Comments Analysis
Use Spark and NLP to analysis the Youtube video comments.
Spark
Youtube Comments Analysis
Use Spark and NLP to analysis the Youtube video comments.