The repo enables accurate customer revenue forecasting using ARIMA and other time series methods. It provides practical examples, data preprocessing, evaluation, and optimization. It also identifies potential customers through market analysis and predictive modeling. Empowering businesses for data-driven growth.
Other
1
stars
2
forks
source link
Notebook for Time Series Forecasting on a Public Dataset #3
Creation of a notebook that demonstrates time series forecasting techniques using a publicly available dataset. This notebook aims to replicate our internal work while ensuring no confidential information is shared. The goal is to contribute to the open-source community and facilitate learning in time series forecasting.
hemajv
commented
1 year ago
Creation of a notebook that demonstrates time series forecasting techniques using a publicly available dataset. This notebook aims to replicate our internal work while ensuring no confidential information is shared. The goal is to contribute to the open-source community and facilitate learning in time series forecasting.