Forecasting with the FB Prophet Model
Автор: Rob Mulla
Загружено: 25 нояб. 2022 г.
Просмотров: 112 440 просмотров
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/tim...
Forecasting with Machine Learning Part 1: • Time Series Forecasting with XGBoost ...
Forecasting with Machine Learning Part 2: • Time Series Forecasting with XGBoost ...
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: / medallionstallion_
My other videos:
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Speed up Pandas Code: • Make Your Pandas Code Lightning Fast
Intro to Pandas video: • A Gentle Introduction to Pandas Data ...
Exploratory Data Analysis Video: • Exploratory Data Analysis with Pandas...
Working with Audio data in Python: • Audio Data Processing in Python
Efficient Pandas Dataframes: • Speed Up Your Pandas Dataframes
Youtube: / @robmulla
Twitch: / medallionstallion_
Twitter: / rob_mulla
Kaggle: https://www.kaggle.com/robikscube
#fbprophet #python #machinelearning

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