Neural Prophet, a new framework that extends on the original prophet framework, addresses pain points such as scale, customization and extensibility.it incorporates traditional statistical and neural network models for time series modeling, used in forecasting and anomaly detection.
In this talk we are going to cover the following points:
• Quick intro about Time Series • What is Neural Prophet? • Difference between Neural Prophet vs Prophet • Why we need Neural Prophet? • Hands on Case study (From analysis to generating forecast Models) • Future opportunities with NP
By the end of the talk, I will make sure, one should be able to understand this powerful framework, its usage, and benefits.