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.
Currently, we are using internal customer data to train the growth model, we should look for alternate publicly available datasets that we can use to train the model. This will be useful for showcasing the work to external forums such as in conferences, blog posts etc.
Currently, we are using internal customer data to train the growth model, we should look for alternate publicly available datasets that we can use to train the model. This will be useful for showcasing the work to external forums such as in conferences, blog posts etc.