Pinned Repositories
FIX-Client-Development
Utilize Python simplefix and socket package to develop FIX(Financial Information eXchange) client that can send random orders to a FIX server and calculate certain statistics related to the order flow.
Machine-Leaning-Model-Deployment
Utilize python flask package for Machine learning model deployment to an website
sgCarMart_Kaggle_Competition
Utilize the tree-based models to predict the resale price. And Design the personalised recommendation system to address the issues of cold-start, overspecialisation and increase its robustness.
garbage_classification
CV classification task for automatic garbage classification to make recycling tasks more efficient.
Spotify_Data_Analysis
In this project, the analysis focused on the factors that contribute to the popularity of existing albums on Spotify to make a successful album from a music streaming perspective.
Twitter_Bots_Detection
Analyze the difference between the features of human accounts and bot accounts on twitter for bots detection
Stock-Price-Prediction-and-Back-Testing-
In this project, I conducted independent research on time series data analysis for Apple stock price forecasting. Utilized the traditional machine learning model, ARIMA, as a benchmark. Implemented a deep learning model, LSTM
isolation-level-benchmark
yichenCY's Repositories
yichenCY/FIX-Client-Development
Utilize Python simplefix and socket package to develop FIX(Financial Information eXchange) client that can send random orders to a FIX server and calculate certain statistics related to the order flow.
yichenCY/Machine-Leaning-Model-Deployment
Utilize python flask package for Machine learning model deployment to an website
yichenCY/sgCarMart_Kaggle_Competition
Utilize the tree-based models to predict the resale price. And Design the personalised recommendation system to address the issues of cold-start, overspecialisation and increase its robustness.
yichenCY/Stock-Price-Prediction-and-Back-Testing-
In this project, I conducted independent research on time series data analysis for Apple stock price forecasting. Utilized the traditional machine learning model, ARIMA, as a benchmark. Implemented a deep learning model, LSTM
yichenCY/garbage_classification
CV classification task for automatic garbage classification to make recycling tasks more efficient.
yichenCY/Twitter_Bots_Detection
Analyze the difference between the features of human accounts and bot accounts on twitter for bots detection
yichenCY/Spotify_Data_Analysis
In this project, the analysis focused on the factors that contribute to the popularity of existing albums on Spotify to make a successful album from a music streaming perspective.