/sale-forecasting-notebooks

Different models when dealing with time series data

Primary LanguageJupyter Notebook

Sale forecasting models

Description

Sample Python code for constructing different models when dealing with time series data, concretely, products' quantity data.

Libraries

  • Pyspark
  • Pandas
  • Numpy
  • Scikit-learn
  • Tensorflow
  • Keras
  • Prophet
  • Matplotlib
  • Seaborn

Models

  • Recurrent neural network with LSTM.
  • LSTM autoencoder and LSTM model.
  • Prophet of Facebook.