Leg3 Inc.
- United States
- https://leg3.net
- company/leg3
- info@leg3.net
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pipewelder
pipewelder PublicReusable R helpers for retrieving, cleaning, and caching public time series data from BLS, FRED, and CDC.
R
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SVR-LSTM
SVR-LSTM PublicA reproducible LSTM forecasting implementation for the log-transformed Sentiment–Volatility Ratio derived from UMCSI and VIX, featuring data preprocessing, time-series modeling, and empirical evalu…
R
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SVR-MLP
SVR-MLP PublicStandalone repository for preserving, validating, and modernizing the multilayer perceptron forecasting workflow used to predict the log-transformed Sentiment–Volatility Ratio at one- and three-mon…
R
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SVR-ARIMA
SVR-ARIMA PublicStandalone ARIMA forecasting implementation for the log-transformed Sentiment–Volatility Ratio, using UMCSENT and VIXCLS data from FRED.
R
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SVR-AR
SVR-AR PublicStandalone AR forecasting workflow for the Sentiment–Volatility Ratio capstone project, using UMCSI and VIX data with expanding-window evaluation.
R
Repositories
- pipewelder Public
Reusable R helpers for retrieving, cleaning, and caching public time series data from BLS, FRED, and CDC.
leg3/pipewelder’s past year of commit activity - SVR-MLP Public
Standalone repository for preserving, validating, and modernizing the multilayer perceptron forecasting workflow used to predict the log-transformed Sentiment–Volatility Ratio at one- and three-month horizons.
leg3/SVR-MLP’s past year of commit activity - SVR-AR Public
Standalone AR forecasting workflow for the Sentiment–Volatility Ratio capstone project, using UMCSI and VIX data with expanding-window evaluation.
leg3/SVR-AR’s past year of commit activity - SVR-ARIMA Public
Standalone ARIMA forecasting implementation for the log-transformed Sentiment–Volatility Ratio, using UMCSENT and VIXCLS data from FRED.
leg3/SVR-ARIMA’s past year of commit activity - SVR-LSTM Public
A reproducible LSTM forecasting implementation for the log-transformed Sentiment–Volatility Ratio derived from UMCSI and VIX, featuring data preprocessing, time-series modeling, and empirical evaluation of sentiment-driven market volatility dynamics.
leg3/SVR-LSTM’s past year of commit activity
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