Pinned Repositories
Backward-Selection-in-Python
Backward selection algorithm using AIC criterion in Python
Classification-of-Bank-Telemarketing-Success
This project includes three Machine Learning techniques, which are Logistic Regression, Classification Tree, and Gradient Boosted Machine.
cs22-slides-and-py-files
Slides and Python files used in my CS22 videos on youtube
dash-sample-apps
Apps hosted in the Dash Gallery
Prediction-of-PM2.5-Concentration
This project includes three models, which are Lasso Regression, Random Forest and LSTM Neural Network.
programming_hive
project-template
A template for scikit-learn extensions
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Sentiment-Analysis-for-IMDB-Movie-Reviews
NLP; bag of words; language model; LSTM
UIUC-courses
This repository consists of homework and projects for the courses at UIUC.
ShuhuiG's Repositories
ShuhuiG/Prediction-of-PM2.5-Concentration
This project includes three models, which are Lasso Regression, Random Forest and LSTM Neural Network.
ShuhuiG/Backward-Selection-in-Python
Backward selection algorithm using AIC criterion in Python
ShuhuiG/Classification-of-Bank-Telemarketing-Success
This project includes three Machine Learning techniques, which are Logistic Regression, Classification Tree, and Gradient Boosted Machine.
ShuhuiG/cs22-slides-and-py-files
Slides and Python files used in my CS22 videos on youtube
ShuhuiG/dash-sample-apps
Apps hosted in the Dash Gallery
ShuhuiG/programming_hive
ShuhuiG/project-template
A template for scikit-learn extensions
ShuhuiG/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ShuhuiG/Sentiment-Analysis-for-IMDB-Movie-Reviews
NLP; bag of words; language model; LSTM
ShuhuiG/UIUC-courses
This repository consists of homework and projects for the courses at UIUC.
ShuhuiG/sigma_coding_youtube
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
ShuhuiG/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, Dask, Flink and DataFlow