Parallel Grid Search benchmark - H2O Machine Learning
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Updated
Jan 14, 2020 - R
Parallel Grid Search benchmark - H2O Machine Learning
Time Series Analysis & Forecasting of Restaurant visitor. EDA, Forecasting with Prophet, arima and h2o auto ml for regression.
R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.
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