Pinned Repositories
Algorithmic-trading-notes
Research notes and code snipets related algorithmic trading.
Data-Structure-and-Algorithm
FRED-downloader
A mini script to search and download data in FRED
MCMC-SV
A study of Markov Chain Monte Carlo and Stochastic Volatility Model
Neural-Network-for-Machine-Learning-Coursera
Material from Neural Network for Machine Learning Course on Coursera
pair-trading-using-cluster-algorithm
Initial attempts to construct portfolio using cluster algorithm
SDS383D-Statistical-Modeling-II
homework and project of SDS 383D Statistical Modeling II
SDS385-Statistical-Models-for-Big-Data
Course work of SDS 385 Statistical Models for Big Data
SegNet-keras
An implementation of SegNet in keras
Sparse-Lasso
Efficient implementation of lasso on sparse feature space
yinanzhu12's Repositories
yinanzhu12/MCMC-SV
A study of Markov Chain Monte Carlo and Stochastic Volatility Model
yinanzhu12/SegNet-keras
An implementation of SegNet in keras
yinanzhu12/Algorithmic-trading-notes
Research notes and code snipets related algorithmic trading.
yinanzhu12/Neural-Network-for-Machine-Learning-Coursera
Material from Neural Network for Machine Learning Course on Coursera
yinanzhu12/pair-trading-using-cluster-algorithm
Initial attempts to construct portfolio using cluster algorithm
yinanzhu12/Data-Structure-and-Algorithm
yinanzhu12/FRED-downloader
A mini script to search and download data in FRED
yinanzhu12/SDS383D-Statistical-Modeling-II
homework and project of SDS 383D Statistical Modeling II
yinanzhu12/SDS385-Statistical-Models-for-Big-Data
Course work of SDS 385 Statistical Models for Big Data
yinanzhu12/Sparse-Lasso
Efficient implementation of lasso on sparse feature space
yinanzhu12/Machine-Learning--Coursera
Materials from Andrew Ng's Machine Learning class of Coursera
yinanzhu12/RF-vs-GB-House-energy-study
An application of random forest and gradient boosting on house energy consumption data
yinanzhu12/typing-autocompletion-program
typing autocompletion program (A python implementation of trie)
yinanzhu12/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow