5 Machine Learning Techniques for Forecasting Sales

Objective:

Predict the number of monthly product sales using regressive and time-series modeling techniques

Featured Techniques:

• EDA
• Linear Regression
• Random Forest Regression
• XGBoost
• Long Short Term Memory (artifical recurrent neural network)
• ARIMA Time Series Forecasting

Results:

• Best results were obtained from the XGBoost and LSTM models
• All models predicted within 2% of monthly mean sales for 12 month prediction

Data Source:

https://www.kaggle.com/c/demand-forecasting-kernels-only/data