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Perform Time series modelling using Facebook Prophet

In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

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What will you learn

  • Time series forecasting using ARIMA
  • Time series forecasting using Prophet
  • Implementing Prophet
  • Knowing advantages of Prophet
  • Using Bayesian Method of forecasting

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

  • Install PyStan, Jupyter Notebook and Anaconda
  • Language used: Python

Project Description

There are various methods to perform time series forecasting. Traditionally people have used AR, MA or ARIMA based models to perform forecasting. Prophet is an open source forecasting tool built by Facebook. It can be used for time series modeling and forecasting trends in the future. The advantage of using Prophet over traditional libraries is that one does not need to know the technicalities of time series, domain knowledge is not really required to do time series forecasting. In this Hackerday we are going to use Prophet vs other methods to do the benchmarking.

Instructors

 
Pradeepta

Curriculum For This Mini Project

 
  Data Set
02m
  Introduction to Prophet
02m
  Installation Steps
00m
  Why Prophet
11m
  Features of Prophet
09m
  How Prophet works
03m
  Import Data Set
04m
  Data Transformation
03m
  Calling Prophet
03m
  Forecasting using Prophet
11m
  Importing Libraries
02m
  Load new Data Set
06m
  Basic Statistics
06m
  Feature Engineering
03m
  Visualization
12m
  Lag Calculation
02m
  Train Test Split
02m
  Linear Model
04m
  Prediction
02m
  Initialization
06m
  Stationarity Test
05m
  Decompose Time Series
02m
  Arima Model
03m
  Using Prophet
04m
  Using Keras
08m
  Conclusion
01m