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TensorHouse Basic Templates

A collection of templates for basic enterprise data science and ML tasks.

  • Generic Regression and Classification Models

    • Neural Network with Vector Inputs (notebook)
    • Neural Network with Sequential Inputs (ConvNet, LSTM, Attention) (notebook)

  • Enterprise Time Series Analysis

    • Forecasting Using ARIMA and SARIMA (notebooks 1 2)
    • Decomposition and Forecasting using Bayesian Structural Time Series (BSTS) (notebooks 1 2 3 4)
    • Forecasting and Decomposition using Gradient Boosted Decision Trees (GBDT) (notebook)
    • Forecasting and Decomposition using LSTM with Attention (notebook)
    • Forecasting and Decomposition using VAR/VEC models (notebooks 1 2)