Uploaded November 2022 | Updated September 2026, 36 minutes ago

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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: kaggle.com/robikscube/time-series-forecasting-with-prophet-yt
Forecasting with Machine Learning Part 1: youtube.com/watch?v=vV12dGe_Fho
Forecasting with Machine Learning Part 2: 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: twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Speed up Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Intro to Pandas video: youtube.com/watch?v=_Eb0utIRdkw
Exploratory Data Analysis Video: youtube.com/watch?v=xi0vhXFPegw

Working with Audio data in Python: youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: youtube.com/watch?v=u4_c2LDi4b8

* Youtube: youtube.com/channel/UCxladMszXan-jfgzyeIMyvw
* Twitch: twitch.tv/medallionstallion_
* Twitter: twitter.com/Rob_Mulla
* Kaggle: kaggle.com/robikscube

#fbprophet #python #machinelearning