NEW LOCATION FOR UPDATED CODE: https://github.com/mollyryanruby/auto_forecast
Predict the number of monthly product sales using regressive and time-series modeling techniques. Paper: https://medium.com/towards-data-science/5-machine-learning-techniques-for-sales-forecasting-598e4984b109
- EDA
- Linear Regression
- Random Forest Regression
- XGBoost
- Long Short Term Memory (artifical recurrent neural network)
- ARIMA Time Series Forecasting
- Best results were obtained from the XGBoost and LSTM models
- All models predicted within 2% of monthly mean sales for 12 month prediction
https://www.kaggle.com/c/demand-forecasting-kernels-only/data