ikatsov / tensor-house-basic

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

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)