Forecasting with the FB Prophet Model

Explore time series forecasting using Facebook's Prophet model in this 21-minute video tutorial. Learn how to implement this powerful additive model in Python, which incorporates non-linear trends with yearly, weekly, and daily seasonality, as well as holiday effects. Follow along as the instructor guides you through data imports, exploratory data analysis, test splitting, model training and prediction, forecast evaluation, and incorporating holiday data. Gain practical insights into creating future dataframes for predictions and access additional resources, including a Kaggle notebook and related machine learning forecasting videos.

Intro
Data and Imports
Features and EDA
Test Split
Train and Predict
Evaluate Forecast
Adding Holidays
Make Future Dataframe