Forecasting with the FB Prophet Model

In this video I show how you can use facebook's prophet model to easily do time series forecasting in python. This model is very powerful because it uses an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. Kaggle Notebook: https://www.kaggle.com/robikscube/time-series-forecasting-with-prophet-yt Forecasting with Machine Learning Part 1: https://www.youtube.com/watch?v=vV12dGe_Fho Forecasting with Machine Learning Part 2: https://www.youtube.com/watch?v=z3ZnOW-S550 Timeline: 00:00 Intro 00:50 Data and Imports 03:43 Features and EDA 05:54 Test Split 06:49 Train and Predict 10:01 Evaluate Forecast 15:01 Adding Holidays 19:19 Make Future Dataframe Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_ My other videos: Speed Up Your Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Speed up Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Intro to Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw Exploratory Data Analysis Video: https://www.youtube.com/watch?v=xi0vhXFPegw Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo Efficient Pandas Dataframes: https://www.youtube.com/watch?v=u4_c2LDi4b8 * Youtube: https://www.youtube.com/channel/UCxladMszXan-jfgzyeIMyvw * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/Rob_Mulla * Kaggle: https://www.kaggle.com/robikscube #fbprophet #python #machinelearning