Time Series Forecasting
Time Series Data refers to numerical data points in successive order. Time Series can be taken over any variable that changes over time. Time series forecasting involves making future predictions using Deep Learning (DL) models that fit on historical data. Analysis of this data involves developing models that describe an observed time series and make assumptions about the form of the data.
ByteCorp recommended and implemented an innovative solution based on a Deep Learning (DL) approach, that works towards future predictions of data. This solution uses a 2 pipeline approach where 2 different models are trained, ensembled and then used for predictions.
"Everything’s been good with their work."