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