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:

Speed Up Your Pandas Code:    • Make Your Pandas Code Lightning Fast  
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  

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Kaggle: https://www.kaggle.com/robikscube

#fbprophet #python #machinelearning